research paper about disney world

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• UCLA Library
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• Imagineering and Theme Parks
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• Books: General Disney Histories and Studies
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Imagineering - Design and Construction

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• "Women of WED: Disney's Female Imagineers, 1955-1969" / by Sara Durben Dissertation, 2013. Depictions of mid-century suburban wives often emphasize women's domestic roles and suggest that women were tied to the home. Such representations suggest that wives found creative outlets in household chores, but the women who worked at WED in the model shop and costuming department found employment outside the home that fed their artistic drives. Examining the female employees of WED in the fifties and sixties pulls back the veil on the building of an iconic American theme park. It also offers an alternative to the stereotypical vision of the suburban wife so strongly associated with the era.

Theme Parks - History, Culture, and Experience

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• Walt Disney's Magic Kingdom Disneyland U.S.A., Anaheim, California. Bird's eye view - Pictorial map; 1964. "This map has been designed and released by Walt Disney Productions ..." Selected attractions and placenames shown. Includes decorative border of Disney characters, welcome text, and drawing of "Disneyland Hotel."
• "New Disney Medallions Worth a Mint to Anaheim Producer: Orange County Edition" Tighe, John; Los Angeles, Calif: Los Angeles Times Communications LLC While the value of Disney commemoratives resides in their rare-metal content and the sentimental attachment of collectors, the Disney name and image is so pervasive that "anything with Disney is a collector's item," said Beth Deishler, editor of Coin World, a weekly newspaper in Sidney, Ohio. "Baby boomers are collectors, and they're the ones in love with Disney." Lois Fullmer, a buyer for Disney, said the medallions have been big sellers in Disney gift catalogues and at the company's parks in Anaheim and Florida. PHOTO: The line of silver medallions of Walt Disney's Snow White and the Seven Dwarfs issued by Rarities Mint of Anaheim. [Ian Simpson] of Rarities Mint.

There are many articles, blogs, and websites devoted to the Disney theme parks. These are just a few examples:

• Disney World Planning Guide (Disney Tourist Blog)
• The Great Big Highly Specific Guide to Disneyland (Los Angeles Times, 4/20/2023)
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Walt Disney World: Planning and Budgeting Concerns Research Paper

Walt Disney’s World budgeting and planning have mapped the company as the most competitive media corporation in the world. From previous scenarios, Walt Disney’s budgeting brought them more revenues, especially before the pandemic. According to Khalid (2021), the company budgeted to increase its spending on content to $33 billion in the 2022 fiscal year, budgeting that started on October 1, 2022. The increased budget aims to increase their streaming capabilities to expand Disney Plus and HULU rather than the previous focus on television streaming.

The monstrous spending technique underlines how Disney draws closer to direct-to-consumer content as a high need, growing its interest in streaming. The yearly planning report explains that Disney intends to deliver roughly 50 titles for dramatic and streaming dissemination during the financial year (Khalid, 2021). The organization additionally specifies that its pressed delivery timetable might be influenced by the new targets’ markets (Dybek, 2021). Considering their competition, their investment budget is higher, thus proving to be more powerful. The budgeting plan concerns the rise of streaming competition and the ability to increase their revenues, as observed in previous years.

As Disney moves to a solid spotlight on direct-to-customer plans of action, the organization is moving forward with happy creation and dispatching in all cases to take care of Disney Besides, Hulu, and different stages. The organization’s Overall Amusement Content unit gauges it will deliver approximately 60 unscripted series, 30 drama series, 25 show series, and five made-for-television motion pictures and specials throughout the 2022 financial year (Dybek, 2021). These plans give the company an advantage in the market and ensure continuous engagement with its consumers.

Walt Disney has also increased their budget for the new Chinese and Nigerian markets. The new Walt Disney World in Nigeria opens new opportunities to study and invest more in the new market. Africa is among the continents where media corporations have not established their roots. Most media corporations, such as Netflix Plus, have tried to establish a streaming company in Africa with no returns on investment (Yahoo is part of the Yahoo family of brands, n.d.). But for Disney Walt Word, the plan to slowly capture the market through studying the needs of the consumers is promising.

Company’s Financial Ratios and Industrial Comparison of the Ratios

Disney has been heavily affected by the pandemic. Especially concerning the frequency of its parks and shops – directly related to the drop-in tourism. But in the fourth fiscal quarter of 2021, its last balance sheet, Disney had a net income of US$ 159 million, thus reversing the loss of US$ 710 million in the same period of 2020 (Walt Disney Co. – AnnualReports.com, n.d.). Even with the effect, the company has shown resilience with a growing ROE in the past year (Yahoo is part of the Yahoo family of brands, n.d.). The following Figure presents Disney Walt World Growth since 2017.

As observed in Figure 1 above, the company’s gross profit had fallen to less than $ 18 Billion. The company added revenue of $18.5 billion in the three months ended October 2, up from $14.7 billion in the same period in 2020 (The complete toolbox for investors | finbox.com, n.d.). From May 2021, the company graph movement is positive, with a promising growth to up to $ 25 Billion by May 2022 (The complete toolbox for investors | finbox.com, n.d.). Generally, Walt Disney’s ROE has experienced recessions and peaks for the past few years.

In comparison with its competitors, Walt Disney World has also been competitive, considering they have a substantial unutilized market. Walt Disney has been competitive and able to increase its ROE over the past year. It was more affected by the pandemic since it relied on tourism and physical studios (Walt Disney Co. – AnnualReports.com, n.d.). But with increased investment in the streaming business and the blooming tourism market, Walt Disney World has seen more growth in its ROE. Figure 2 below shows a comparison between Walt Disney and its competitors.

Future Prospects of the Company

Disney will be one of the most powerful and riches multimedia corporations in the future. One major promising factor is the growth of their consumer base and the chance to reach even more consumers. The Disney+ platform has surpassed 118 million subscriptions in more than a year, far exceeding the company’s expectations (Dybek, 2021). When the platform was announced in 2019, Disney estimated it would have between 60 million and 90 million subscribers by 2024. In other words, the five-year goal was reached in a few months (Dybek, 2021). Even Netflix CEO Reed Hastings, the brand’s competitor in streaming, called the feat “surprising” (Khalid, 2021). Through this, Walt Disney has parks and all its stories, characters, and franchises, bringing more profits. They are the attractions in the theme parks, the cruises with characters, toys, costumes, and video games that will continue to grow their revenue in the future.

Analysts now project a new goal for Disney’s streaming: to reach 158 million subscribers in five years. With the closing of movie theatres in the pandemic, Disney postponed part of the productions and anticipated the launch on streaming – in some cases, for an additional price. The strategy can now be adopted permanently, with shorter viewing time in movie theatres and faster availability of titles online. Dybek (2021) highlighted a 60% year-on-year growth in the subscriber base of its leading streaming service, Disney+, a Walt Disney World channel, which reached 118.1 million customers.

In terms of planning, Walt Disney has acquisitions that continue to generate value. Acquisitions are where Disney+ is inserted, Disney’s lucrative bet to compete with the big players in streaming. Disney+ works all the Disney character hall, including the entire Marvel universe, Star Wars and other great films, which competitors don’t have, making its future growth impressive (Dybek, 2021). Through these and other diverse business areas, the company produces and acquires a series of types of films, such as acting, animations, musicals, and plays.

Type of Stock Recommendations

From my viewpoint, I recommend a hold type of stock for Walt Disney. The advantage of holding a stock with Disney is that there are prospects that the profit margin will increase, as depicted by the ROE. Investors should understand that increase in ROE is proportional to an increase in the gains if they sell the stocks at a future date. Additionally, holding stocks limits charges that might be incurred during the selling and buying processes. In my case, I would prefer investing in this company as its future performance and productivity appear promising based on its financial ratios, such as the ROE.

Several aspects must be considered when thinking about investing in Disney Walt. Currently, the trade recommendation is to buy stocks in Walt Disney World. Buying is the perfect stock recommendation with the prospects and growth points at expected future growth. Disney offers a winning combination for long-term investors. Its core business, including theme parks and movie theatres, is growing again, while the streaming unit is becoming a powerful contender in the post-pandemic world (Dybek, 2021). This potency is one of the assets that has drawn much attention from investors since the Walt Disney Company is a company that operates in several segments, showing a great capacity for growth.

As the economy reopens and consumers are eager to return to their everyday lives following mass vaccination efforts in the US and other parts of the world, there are signs of the growth in the number of streaming users, and an essential engine of paper propulsion is losing some of its strength. This bearish cycle, in our view, offers a good entry point for long-term investors as the nearly century-old Disney enters yet another intense growth phase, thanks to its traditional businesses, including theme parks and the direct-to-consumer streaming service (Dybek, 2021). There may be some obstacles to this recovery trajectory, but Disney’s business diversification has everything to allow for a full recovery.

Disney is a company with a long history and has been undergoing constant development, being close to completing its centenary foundation. However, the entertainment company’s prominence exceeds its market longevity. One of the strengths presented is the variety of fronts in which it operates, which attracts investors. The financial market indicates that the diversity of sectors of the company provides more security to those who invest in it since the company has different sources of revenue. The stock managed a remarkable recovery since, more precisely, until the close of trading, the stock had reached more than $134 (Dybek, 2021). It is not surprising that a new record can be beaten coming soon, when the company resumes activities and businesses disrupted by the crisis, releasing new movies and reopening its theme parks.

Dybek, M. (2021). Walt Disney Co. (NYSE: DIS) | Return on equity (ROE) since 2005 . Stock Analysis on Net.

Khalid, F. (2021). Netflix’s CEO says it has to catch up with Disney+ on animated family hits like ‘Soul.’ Business Insider.

The complete toolbox for investors | finbox.com . (n.d.). Finbox.

Walt Disney Co. – AnnualReports.com . (n.d.). AnnualReports.Com.

Yahoo is part of the Yahoo family of brands . (n.d.). Yahoo Finance.

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IvyPanda. (2023, June 22). Walt Disney World: Planning and Budgeting Concerns. https://ivypanda.com/essays/walt-disney-world-planning-and-budgeting-concerns/

"Walt Disney World: Planning and Budgeting Concerns." IvyPanda , 22 June 2023, ivypanda.com/essays/walt-disney-world-planning-and-budgeting-concerns/.

IvyPanda . (2023) 'Walt Disney World: Planning and Budgeting Concerns'. 22 June.

IvyPanda . 2023. "Walt Disney World: Planning and Budgeting Concerns." June 22, 2023. https://ivypanda.com/essays/walt-disney-world-planning-and-budgeting-concerns/.

1. IvyPanda . "Walt Disney World: Planning and Budgeting Concerns." June 22, 2023. https://ivypanda.com/essays/walt-disney-world-planning-and-budgeting-concerns/.

Bibliography

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Disney Research Releases Latest Round of Inventions

Disney Research, The Walt Disney Company’s research and science arm, has been inventing and innovating technologies behind the scenes for nearly a decade. With offices in Zurich, Pittsburgh and Los Angeles, the team has filed hundreds of patents and contributed to powering Disney experiences—whether they be films, attractions, merchandise or anything in between.

For Jon Snoddy, studio executive, Walt Disney Imagineering Advanced Development and Disney Research, and team, it’s all about maintaining a creative and technologically innovative rhythm for the entire Company.

“This is an amazing company to be developing technology in because the markets we are in are so diverse,” Snoddy said. “We do everything in the form of entertainment.”

This summer, Disney Research released its latest set of papers before SIGGRAPH, the world’s largest and most influential annual event in computer graphics and interactive techniques. In the mix were several projects that, according to Snoddy, will push the state of the art forward, including a single camera that can capture high-quality facial performance. This device will be a key component of visual effects for movies and computer games, as it is able to unobtrusively capture facial expressions with the robustness of traditional multi-view methods.

Another technology Snoddy highlights is software that adds a new level of control to industrial knitting machines. This invention will allow for the creation of personalized products like never before, such as custom dolls and other items. Knitting machines are almost always used to manufacture many of the same objects, but now, they can create a variety of custom 3-D shapes.

Disney Research also revealed details pertaining to a design tool that transforms objects into intricate works of arts; an animation technique that produces more realistic characters; a method that helps animators capture subtle details of eyes with a single facial scan; and a technique that consistently replicates a 3-D printed object’s feel, no matter what material or printer is used.

Alongside its world-class scientific researchers, the Disney Research team pushes technological boundaries with its engineers, animators, artists and writers.

“We have a unique situation with our research group because we have the ability to surround our researchers with people who are just as good at the content side of what they do as our researchers are with the science,” Snoddy said. “By combining art and science together, we can make leaps that would be impossible if either group tried to do things by itself.”

What’s on the horizon for Disney Research? Snoddy says a major area of focus for Disney Research is interactive storytelling.

“It’s an emerging art form,” he added. “We continue to author new ways for people to experience our characters. That’s something we’re doing a lot of work in, and its showing great promise.”

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• February 2021 (Revised January 2024)
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Walt Disney: Changing the World

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• | Language: English
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About The Author

Robert Simons

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• September 2022 (Revised March 2023)
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• Walt Disney: Changing the World  By: Robert Simons and Shirley Sun

Keeping the Eyes Busy: A Case Study of Disney+

• Conference paper
• First Online: 17 May 2022
• Cite this conference paper

• Daniel Soares 13 ,
• Hugo Freitas 13 ,
• Joana Oliveira 13 ,
• Luís Vieira 13 &
• Manuel Au-Yong-Oliveira 14  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 469))

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• World Conference on Information Systems and Technologies

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Ever since the arrival of streaming platforms, society has become more focused on understanding how to take the next step forward in terms of innovation. Streaming is now a new reality that is growing by the second, and businesses have begun to spend more money on streaming services in order to adapt and improve their products for this new era. This is also the case of Disney+, released at the end of 2019, which had an immediate unexpected growth upon its launch. In comparison to other streaming platforms, Disney+ had an easier debut because of its wide range of unique material available to watch. This study explores Disney+ as a brand, a streaming platform, its features and how they compare to others, as well as the company’s business model and revenue, all of which contributed to Disney+ ‘s current position among other streaming platforms. Regarding Disney+, a survey with 84 responses was conducted, and the results were analysed using descriptive and inferential (chi-square independence test) statistics. As the value of the calculated test statistic (11.24) (chi-square test) is higher than the value in the chi-square table, we conclude that there is a statistically significant association between age and being influenced by advertising.

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Daniel Soares, Hugo Freitas, Joana Oliveira & Luís Vieira

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Soares, D., Freitas, H., Oliveira, J., Vieira, L., Au-Yong-Oliveira, M. (2022). Keeping the Eyes Busy: A Case Study of Disney+. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-04819-7_21

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Disney World Research Papers Example

Type of paper: Research Paper

Topic: Business , Organization , World , Disney , Customers , Employee , Company , Workplace

Words: 1500

Published: 04/02/2020

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Introduction

Disney World is an entertainment complex that is located in Lake Buena Vista, Florida. The resort attracts millions of enthusiastic visitors all year round. Disney World was opened in the year 1971 and on average; it receives about 52.5 million attendants per annum. The resort is an extension of the Walt Disney Company, and it covers approximately 16, 997 ha (42000 acres). The Disney World houses 24 resorts, 2 water parks, 4 theme parks among many other entertainment and recreational venues. The original theme park of the complex is Magic Kingdom. Most of the theme parks were opened throughout the period between 1980 and 1990. Originally, the complex was designed in order to supplement Disneyland in California. As such, it was developed in the 1960s by Walt Disney. The Walt Disney Company was, to some extent, given autonomy and powers of an incorporated city when the Florida Government created the Reedy Creek Improvement District. This was a special district of the government that gave the company its autonomy and the standard powers. In their original plans, the district called for an “Experimental Prototype Community of Tomorrow” to be included. This was in order to create a planned city that would be used to serve the city living’s innovations. Disney World, like many other companies, has unquestionable, unassailable assumptions that act as its bedrock when defining its products and goals. Among the assumptions that Disney World has is that of doing their best to guarantee their customers of better products and services. Providing quality services, to the company, is very essential in attracting more customers. Through a defined leadership and division of roles, the company has achieved its goal of consistently delivering better products to the consumers. Consumer satisfaction is essential if companies are to be competitive. The company has a culture of welcoming all sorts of opinions, different perspectives and critical ideas in order to improve their own performance and ensure that they represent the global marketplace efficiently and effectively. To a large extent, the company takes into account the community it serves. Through such a reflection, it becomes more determined to improve the manner that it connects to the consumers, guests and the audiences. Disney World is better known for its endeavors and their desire to create an environment that is all-inclusive to promote innovation, creativity and camaraderie across all companies owned by Disney World. Improving creativity and imagination is well expected of any employee in Disney World. Innovativeness and creativity are well inculcated as the company’s key cultures among its workers. In essence, the company lays much emphasis on the role of technology and innovation in order to ensure that the consumers are satisfied with their services. Through the innovative culture, the company comes up with new ideas and puts them into practice, hence creating a variety of options for the company. Apart from the creativity and innovativeness of the company, Disney World takes into much consideration the importance of quality in their service delivery. The manner that the employees are trained to embrace quality and set high standards of excellence can only positively work for the company. Across all their categories of products, Disney World strives to maintain high quality standards. This gives it an advantage in that consumers and customers get to be assured of the quality services they will get. Developing such confidence with consumers is essential in that more customers will be attracted, further boosting the company’s reputation. It is also within the company’s culture to create and enhance inclusive and positive ideas about families. Through this, the company plays a crucial role in promoting relationships, hence attaching itself more to the needs of the society. The company does this by providing different types of entertainment to all generations. Decency is also promoted throughout the endeavors of the company. The company has, as their key value, the aim of honoring and respecting the trust that is accorded to them by the people. Through the above argued strategies and values, the company places itself in a better position to create a common mission that will attract many people. Through this culture, the company has high chances of success. These practices are well appreciated by the company’s management as it aims to create a competitive environment in the industry. Disney World’s organizational structure is one of the key areas that has facilitated its tremendous success over the years. Essentially, the company has well-defined roles for the employees and the management. This is very crucial for any organization in that every employee will be aware of his set goals and what they should handle in the organization. Furthermore, through having a well-defined structure, chances of conflicts arising in the company will be highly minimized, further boosting the company’s chances of succeeding. Four decades since Disney World opened the theme park, incredible transformation has taken place, the aim of which is to maintain the company’s competitiveness and promote unprecedented success for the company. The management of the company has, for a number of years, been of crucial importance to how the company is operated. Of major importance is the fact that the information systems within the company are well defined and customers do not have difficulties as to where to get their services from. In terms of its personnel, the Disney World has over 60,000 employees. The large workforce is tasked with ensuring that the company has smooth operations. Of importance is the fact that the company offers a variety of trainings to the employees. Through such trainings that are offered by the company, the employees get to understand the company’s organizational culture. This is very important in that the company gives the employees a chance to understand what is expected of them by the company. The focus that the company puts in training its staff is paid back by the customer satisfaction that is promoted by the company’s god work. At the trainings, the company instills such cultures as proper decision-making, human resource practice, organizational structure, motivation and group behavior to the employees. This enhances the company’s competitive edge. Of major importance is the company’s urge to balance between employee and consumer satisfaction. A company’s organizational environment determines the place where the company draws its resources from and supply their products and services. In most cases, there is a reciprocal relationship between environments and organizations. Disney World depends on the surrounding environment to get the financial support and the necessary resources to run the business. Human resource is a very crucial element in the progress of any organization. Without such a support, it would be difficult to imagine of the organizations existing. Without such resources, organizations will definitely lack the necessary support, hence may end up collapsing. Disney World has created a stable relationship with the community. Other aspects of the environment that Disney World takes into consideration include the legislative requirements that the government imposes. Going against such requirements may see the organization being closed. On the other hand, the organizations get to promote the welfares of the surrounding communities. Through providing them with their quality products, the organizations play a crucial role in promoting the livelihood of the members of the community. Disney World is well known for employing a number of people to oversee its operations. Through this, the society directly benefits since the unemployment cases in the society get to reduce. Another environmental aspect that determines Disney World’s operations is that of advertising. Generally, advertising plays a crucial role in an organization’s business as it gets to inform more people of the products and services that are available. Disney World has effectively managed to attract more customers through its advertising policies. To further ensure that Disney World is in better hands, the management takes into account the threats that may be posed by the competitors. Such knowledge is crucial in that the organization makes crucial decisions on how to go about their businesses. Competition is one key area that most companies consider before starting their operations, since it determines the success that a company can get. Through the relevant information systems, Disney World has placed itself in a better position as far as understanding the operations of its competitors. This has given it a better hand in ensuring its success.

Corporate Profile: How analytics enhance the guest experience at Walt Disney World. (2012, November 8). Retrieved April 13, 2014, from http://www.analytics-magazine.org/september-october-2012/663-corporate-profile-how-analytics-enhance-the-guest-experience-at-walt-disney-world The Walt Disney Company (2013). About Disney. Available at: http://thewaltdisneycompany.com/about-disney Interbrand (2012). Best Global Brands in 2012. Available at: http://www.interbrand.com/en/best-global-brands/2012/Best-Global-Brands-2012.aspx Market Daily news (2013). The Walt Disney Company (NYSE:DIS): A Fairy Tale Growth Story. Available at: http://marketdailynews.com/2013/05/20/the-walt-disney-company-nysedis-a-fairy-tale-growth-story/

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Controllable Inversion of Black-Box Face Recognition Models via Diffusion

October 2, 2023, Workshop on Analysis and Modeling of Faces and Gestures 2023 Manuel Kansy (DisneyResearch|Studios/ETH Joint PhD) Anton Rael  (ETH Zurich) Graziana Mignone (DisneyResearch|Studios) Jacek Naruniec (DisneyResearch|Studios) Christopher Schroers (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios /ETH Zurich) Romann M. Weber (DisneyResearch|Studios)

ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting

October 2, 2023 International Conference on Computer Vision (ICCV) (2023) Yingyan Xu (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios) Prashanth Chandran (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Derek Bradley (DisneyResearch|Studios) Paulo Gotardo (DisneyResearch|Studios)

The Score-Difference Flow for Implicit Generative Modeling

July 2023, Transactions on Machine Learning Research (TMLR) 2023 Romann Weber (DisneyResearch|Studios)

Kernel-Based Frame Interpolation for Spatio-Temporally Adaptive Rendering

July 23, 2023, ACM Siggraph 2023 Karlis Martins Briedis (DisneyResearch|Studios / ETH Zürich), Abdelaziz Djelouah (DisneyResearch|Studios), Raphaël Ortiz (DisneyResearch|Studios), Mark Meyer (Pixar Animation Studios) Markus Gross (DisneyResearch|Studios / ETH Zürich), Christopher Schroers (DisneyResearch|Studios)

Graph-Based Synthesis for Skin Micro Wrinkles

July 3, 2023 Eurographics Symposium on Geometry Processing (2023) Sebastian Weiss (DisneyResearch|Studios) Jonathan Moulin (Industrial Light & Magic) Prashanth Chandran (DisneyResearch|Studios) Gaspard Zoss (DisneyResearch|Studios) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley(DisneyResearch|Studios)

Deep Compositional Denoising on Frame Sequences

June 26, 2023, Eurographics Symposium on Rendering (EGSR) Xianyao Zhang (DisneyResearch|Studios / ETH Zürich), Gerhard Röthlin (DisneyResearch|Studios), Marco Manzi (DisneyResearch|Studios), Markus Gross (DisneyResearch|Studios / ETH Zürich), Marios Papas DisneyResearch|Studios)

Continuous Landmark Detection with 3D Queries

June 4, 2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Prashanth Chandran (DisneyResearch|Studios),Gaspard Zoss (DisneyResearch|Studios), Paulo Gotardo (DisneyResearch|Studios),Derek Bradley(DisneyResearch|Studios)

Video Compression with Entropy-Constrained Neural Representations

June 4, 2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Carlos Gomes (ETH Zürich), Roberto Azevedo (DisneyResearch|Studios), Christopher Schroers (DisneyResearch|Studios)

Frame Interpolation Transformer and Uncertainty Guidance

June 4, 2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Markus Plack  (Unitersity of Bonn), Matthias B. Hullin (University of Bonn), Karlis Martins Briedis (DisneyResearch|Studios/ETH Zürich), Markus Gross (DisneyResearch|Studios /ETH Zurich), Abdelaziz Djelouah (DisneyResearch|Studios), Christopher Schroers (DisneyResearch|Studios)

Kernel Aware Resampler

June 4, 2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Michael Bernasconi  (DisneyResearch|Studios) / ETH Zurich), Abdelaziz Djelouah (DisneyResearch|Studios) , Farnood Salehi (DisneyResearch|Studios), Markus Gross  (DisneyResearch|Studios /ETH Zurich), Christopher Schroers (DisneyResearch|Studios)

Physics-Informed Neural Corrector for Deformation-based Fluid Control

May 8, 2023 Eurographics 2023 Jingwei Tang (DisneyResearch|Studios), Byungsoo Kim (ETH Zurich/ETH Joint PhD), Vinicius Azevedo (DisneyResearch|Studios), Barbara Solenthaler (ETH Zurich) 

Self-Supervised Effective Resolution Estimation with Adversarial Augmentations

January 3, 2023 IEEE Winter Conference on Applications of Computer Vision (WACV) (2023) Manuel Kansy (DisneyResearch|Studios/ETH Joint PhD) Julian Balletshofer (DisneyResearch|Studios) Jacek Naruniec (DisneyResearch|Studios) Christopher Schroers (DisneyResearch|Studios) Graziana Mignone (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Romann Weber (DisneyResearch|Studios)

Production-Ready Face Re-Aging for Visual Effects

November 30, 2022 ACM SIGGRAPH Asia (2022) Gaspard Zoss (DisneyResearch|Studios) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Eftychios Sifakis (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios)

Efficient Neural Style Transfer For Volumetric Simulations

November 30, 2022 ACM SIGGRAPH Asia (2022) Joshua Aurand (DisneyResearch|Studios) Raphaël Oritz (DisneyResearch|Studios) Sylvia Nauer (DisneyResearch|Studios) Vinicius Azevedo (DisneyResearch|Studios)

Deep Adaptive Sampling and Reconstruction using Analytic Distributions

November 30, 2022 ACM SIGGRAPH Asia (2022) Farnood Salehi (DisneyResearch|Studios) Marco Manzi (DisneyResearch|Studios) Gerhard Röthlin (DisneyResearch|Studios) Christopher Schroers (DisneyResearch|Studios) Romann Weber (DisneyResearch|Studios) Marios Papas (DisneyResearch|Studios)

Contrastive Learning for Controllable Blind Video Restoration

November 21, 2022 British Machine Vision Conference (BMVC) (2022) Givi Meishvili (DisneyResearch|Studios) Abdelaziz Djelouah (DisneyResearch|Studios) Sally Hattori (The Walt Disney Company) Christopher Schroers (DisneyResearch|Studios)

TempFormer: Temporally Consistent Transformer for Video Denoising

October 11, 2022 European Conference on Computer Vision (ECCV) (2022) Mingyang Song (ETH Zürich) Yang Zhang (DisneyResearch|Studios) Tunç O. Aydın (DisneyResearch|Studios)

Learning Dynamic 3D Geometry and Texture for Video Face Swapping

October 05, 2022 Pacific Graphics (2022) Christopher Otto (DisneyResearch|Studios/ETH Joint PhD) Jacek Naruniec (DisneyResearch|Studios) Leonhard Helminger (DisneyResearch|Studios/ETH Joint PhD) Thomas Etterlin (DisneyResearch|Studios/ETH Joint M.Sc.) Graziana Mignone (DisneyResearch|Studios) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios) Christopher Schroers (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios) Romann Weber (DisneyResearch|Studios)

Automatic Feature Selection for Denoising Volumetric Renderings

April 7, 2022 Eurographics Symposium on Rendering (EGSR) (2022) Xianyao Zhang (DisneyResearch|Studios/ETH Joint Ph.D.) Melvin Ott (DisneyResearch|Studios/ETH Joint M.Sc.) Marco Manzi (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Marios Papas (DisneyResearch|Studios)

Facial Animation with Disentangled Identity and Motion using Transformers

September 13, 2022 ACM/Eurographics Symposium on Computer Animation 2022 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios)

Training a Deep Remastering Model

July 24, 2022 ACM SIGGRAPH 2022 Abdelaziz Djelouah (DisneyResearch|Studios) Sally Hattori (The Walt Disney Company) Andrew J. Wahlquist (The Walt Disney Company) Christopher Schroers (DisneyResearch|Studios)

Local Anatomically-Constrained Facial Performance Retargeting

July 24, 2022 ACM SIGGRAPH 2022 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Loïc Ciccone (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH) Derek Bradley (DisneyResearch|Studios)

MoRF: Morphable Radiance Fields for Multiview Neural Head Modeling

July 24, 2022 ACM SIGGRAPH 2022 Daoye Wang (ETH Zürich) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Derek Bradley (DisneyResearch|Studios) Paulo Gotardo (DisneyResearch|Studios)

Facial Hair Tracking for High Fidelity Performance Capture

July 24, 2022 ACM SIGGRAPH 2022 Sebastian Winberg (DisneyResearch|Studios/ETH Zurich) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios)

Implicit Neural Representation for Physics-driven Actuated Soft Bodies

July 24, 2022 ACM SIGGRAPH 2022 LingchenYang (ETH Zürich) Byungsoo Kim (ETH Zürich) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Baran Gözcü (ETH Zürich) Markus Gross (DisneyResearch|Studios/ETH) Barbara Solenthaler (ETH Zürich)

Shape Transformers: Topology-Independent 3D Shape Models Using Transformers

April 25, 2022 Eurographics 2022 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios)

Improved Lighting Models for Facial Appearance Capture

April 25, 2022 Eurographics 2022 Yingyan Xu (DisneyResearch|Studios/ETH Joint M.Sc.) Jérémy Riviere (DisneyResearch|Studios) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Derek Bradley (DisneyResearch|Studios) Paulo Gotardo (DisneyResearch|Studios)

Neural Frame Interpolation for Rendered Content

November 30, 2021 ACM SIGGRAPH Asia 2021 Karlis Martins Briedis (DisneyResearch|Studios/ETH Joint PhD) Abdelaziz Djelouah (DisneyResearch|Studios) Mark Meyer (Pixar Animation Studios)Ian McGonigal (Industrial Light & Magic) Markus Gross (DisneyResearch|Studios/ETH Zurich) Christopher Schroers (DisneyResearch|Studios)

Rendering with Style: Combining Traditional and Neural Approaches for High-Quality Face Rendering

November 30, 2021 ACM SIGGRAPH Asia 2021 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Sebastian Winberg (DisneyResearch|Studios) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Jérémy Riviere (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios)

Deep Compositional Denoising for High-quality Monte Carlo Rendering

June 29, 2021 Eurographics Symposium on Rendering (EGSR) 2021 Xianyao Zhang (DisneyResearch|Studios/ETH Joint PhD) Marco Manzi (DisneyResearch|Studios) Thijs Vogels (EPFL) Henrik Dahlberg (Industrial Light & Magic) Markus Gross ((DisneyResearch|Studios)/ETH Zurich) Marios Papas (DisneyResearch|Studios)

Adaptive Convolutions for Structure-Aware Style Transfer

June 19, 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Paulo Gotardo (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Derek Bradley (DisneyResearch|Studios)

Lossy Image Compression with Normalizing Flows

May 8, 2021 Neural Compression Workshop @ ICLR (2021) Leonhard Helminger (DisneyResearch|Studios/ETH Joint PhD) Abdelaziz Djelouah (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Christopher Schroers (DisneyResearch|Studios)

Robust Image Denoising using Kernel Predicting Networks

May 3, 2021 Eurographics 2021 Zhilin Cai (DisneyResearch|Studios/ETH Joint M.Sc.) Yang Zhang (DisneyResearch|Studios) Marco Manzi (DisneyResearch|Studios) Cengiz Oztireli (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Tunc Aydin (DisneyResearch|Studios)

Deep HDR estimation with generative detail reconstruction

May 3, 2021 Eurographics 2021 Yang Zhang (DisneyResearch|Studios) Tunc Aydin (DisneyResearch|Studios)

Semantic Deep Face Models

November 25, 2020 3D International Conference on 3D Vision (3DV) (2020) Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD), Derek Bradley (DisneyResearch|Studios), Markus Gross (DisneyResearch|Studios/ETH Zurich), Thabo Beeler (DisneyResearch|Studios)

Deep Deinterlacing

November 10, 2020 SMPTE Annual Technical Conference & Exhibition (2020) Michael Bernasconi (DisneyResearch|Studios) Abdelaziz Djelouah (DisneyResearch|Studios) Sally Hattori (The Walt Disney Studios) Christopher Schroers (DisneyResearch|Studios)

Data-driven Extraction and Composition of Secondary Dynamics in Facial Performance Capture

August 17, 2020 ACM Siggraph 2020 Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Eftychios Sifakis (University of Wisconsin, Madison/DisneyResearch|Studios) Markus Gross (Disney Research/ETH Zurich) Derek Bradley (DisneyResearch|Studios) Thabo Beeler (DisneyResearch|Studios)

Single-Shot High-Quality Facial Geometry and Skin Appearance Capture

August 14, 2020 ACM Siggraph 2020 Jeremy Riviere (DisneyResearch|Studios) Paulo Gotardo (DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios) Abhijeet Ghosh (Imperial College London) Thabo Beeler (DisneyResearch|Studios)

Interactive Sculpting of Digital Faces Using an Anatomical Modeling Paradigm

July 6, 2020 Eurographics Symposium on Geometry Processing (2020) Aurel Gruber (DisneyResearch|Studios/ETH Joint M.Sc.) Marco Fratarcangeli (Chalmers University of Technology/DisneyResearch|Studios) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Roman Cattaneo (DisneyResearch|Studios) Thabo Beeler (DisneyResearch|Studios) Markus Gross (Disney Research/ETH Zurich) Derek Bradley (DisneyResearch|Studios)

High-Resolution Neural Face Swapping for Visual Effects

June 29, 2020 Eurographics Symposium on Rendering (2020) Jacek Naruniec (DisneyResearch|Studios) Leonhard Helminger (DisneyResearch|Studios/ETH Joint PhD) Christopher Schroers (DisneyResearch|Studios) Romann M. Weber (DisneyResearch|Studios)

Attention-Driven Cropping for Very High Resolution Facial Landmark Detection

June 16, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD) Derek Bradley (DisneyResearch|Studios) Thabo Beeler (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich)

Fast Nonlinear Least Squares Optimization of Large-Scale Semi-Sparse Problems

May 25, 2020 Eurographics 2020 Marco Fratarcangeli (Chalmers University of Technology/DisneyResearch|Studios) Derek Bradley (DisneyResearch|Studios) Aurel Gruber (DisneyResearch|Studios/ETH Joint M.Sc.) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Thabo Beeler (DisneyResearch|Studios)

Facial Expression Synthesis using a Global-Local Multilinear Framework

May 25, 2020 Eurographics 2020 Mengjiao Wang (DisneyResearch|Studios Intern) Derek Bradley (DisneyResearch|Studios) Stefanos Zafeiriou (Imperial College London) Thabo Beeler (DisneyResearch|Studios)

Rig-space Neural Rendering

Marc 24, 2020arxiv.org Dominik Borer (DisneyResearch|Studios/ETH Joint PhD) Lu Yuhang (ETH Zurich) Laura Wuelfroth (ETH Zurich) Jakob Buhmann (DisneyResearch|Studios) Martin Guay (DisneyResearch|Studios)

Deep Generative Video Compression

November 4, 2019 NeurIPS 2019 Jun Han (Dartmouth College) Salvator Lombardo (Disney Research LA) Christopher Schroers (DisneyResearch|Studios) Stephan Mandt (University of California, Irvine)

Differentiable Surface Splatting for Point-based Geometry Processing

November 1, 2019 ACM SIGGRAPH Asia 2019 Yifan Wang (ETH Zurich) Serena Felice (ETH Zurich) Wu Shihao (ETH Zurich) Cengiz Oztireli (DisneyResearch|Studios) Olga Sorkine-Hornung (ETH Zurich)

Blind image super resolution with spatially variant degradations

November 1, 2019 ACM SIGGRAPH Asia 2019 Victor Cornillère (DisneyResearch|Studios/ETH Joint M.Sc.) Abdelaziz Djelouah (DisneyResearch|Studios) Yifan Wang (ETH Zurich) Olga Sorkine-Hornung (ETH Zurich) Christopher Schroers (DisneyResearch|Studios)

Parameterized Animated Activities

October 28, 2019 ACM MIG 2019 Alba M. Rios Rodriguez (DisneyResearch|Studios/ETH Joint M.Sc.) Steven Poulakos (DisneyResearch|Studios) Maurizio Nitti (DisneyResearch|Studios) Mattia Ryffel (DisneyResearch|Studios) Robert W. Sumner (DisneyResearch|Studios/ETH Zurich)

Neural Inter-Frame Compression for Video Coding

October 27, 2019 International Conference on Computer Vision (ICCV) 2019 Abdelaziz Djelouah (DisneyResearch|Studios) Joaquim Campos (DisneyResearch|Studios Intern) Simone Schaub-Meyer (DisneyResearch|Studios/ETH Joint PhD) Christopher Schroers (DisneyResearch|Studios)

Spectrogram Feature Losses for Music Source Separation

September 2, 2019 Eusipco 2019 Abhimanyu Sahai (Disney Research/ETH Joint M.Sc.) Romann Weber (Disney Research) Brian McWilliams (Disney Research)

Tangent Space Optimization of Controls for Character Animation

July 12, 2019 ACM Siggraph 2019 Loïc Ciccone (ETH Zurich) Cengiz Öztireli (Disney Research) Robert W. Sumner (Disney Research/ ETH Zurich)

Accurate Markerless Jaw Tracking for Facial Performance Capture

July 12, 2019 ACM Siggraph 2019 Gaspard Zoss (Disney Research/ETH Joint PhD) Thabo Beeler (Disney Research) Markus Gross (Disney Research/ETH Zurich) Derek Bradley (Disney Research)

Neural Importance Sampling

July 12, 2019 ACM Siggraph 2019 Thomas Müller (Disney Research/ETH Joint PhD) Brian McWilliams (Disney Research) Fabrice Rousselle (Disney Research) Markus Gross (Disney Research/ETH Zurich) Jan Novak (Disney Research)

Neural Sequential Phrase Grounding (SeqGROUND)

June 16, 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 Pelin Dogan (Disney Research/ETH Joint PhD) Leonid Sigal (University of British Columbia/Vector Institute) Markus Gross (Disney Research/ETH Zurich)

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation

June 10, 2019 International Conference on Machine Learning (ICML) 2019 Marco Ancona (ETH Zurich) Cengiz Oztireli (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Generating Animations from Screenplays

June 1, 2019 *SEM 2019 Yeyao Zhang (Disney Research/ETH Joint M.Sc.) Eleftheria Tsipidi (Disney Research) Sasha Schriber (Disney Research) Mubbasir Kapadia (Disney Research/Rutgers University) Markus Gross (Disney Research/ETH Zurich) Ashutosh Modi (Disney Research)

Learning-based Sampling for Natural Image Matting

June 16, 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 Jingwei Tang (Disney Research/ETH Zurich) Yagız Aksoy (ETH Zurich) Cengiz Oztireli (Disney Research) Markus Gross (Disney Research/ETH Zurich) Tunc Aydin (Disney Research)

Practical Person-Specific Eye Rigging

May 6, 2019 Eurographics 2019 Pascal Bérard (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Markus Gross (Disney Research/ETH Zurich) Thabo Beeler (Disney Research)

Analysis of Sample Correlations for Monte Carlo Rendering

May 6, 2019 Eurographics 2019 Gurprit Singh (Max-Planck Institute for Informatics, Saarbrücken) Cengiz Öztireli (Disney Research) Abdalla G.M. Ahmed (KAUST) David Coeurjolly (Université de Lyon / CNRS) Kartic Subr (University of Edinburgh) Oliver Deussen (University of Konstanz) Victor Ostromoukhov (Université de Lyon / CNRS) Ravi Ramamoorthi (University of California, San Diego) Wojciech Jarosz (Dartmouth College)

StoryPrint: an Interactive Visualization of Stories

March 17, 2019 ACM Symposium on User Interface Software and Technology (ACM UIST) 2019 Kate Watson (Disney Research) Sasha Schriber (Disney Research) Carlos Muniz (Rutgers University) Samuel Sohn (Rutgers University) Markus Gross (Disney Research/ETH Zurich) Mubbasir Kapadia (Rutgers University)

Animating an Autonomous 3D Talking Avatar

February 15, 2019 arxiv 2019 Dominik Borer (Disney Research/ETH Joint PhD) Dominic Lutz (Disney Research) Robert W. Sumner (Disney Research) Martin Guay (Disney Research)

The Role of Closed-Loop Hand Control in Handshaking Interactions

January 16, 2019 IEEE Robotics and Automation Letters (RA-L) 2019 Francesco Vigni (University of Siena) Espen Knoop (Disney Research) Domenico Prattichizzo (University of Siena/Italian Institute of Technology) Monica Malvezzi (University of Siena/Italian Institute of Technology)

Incremental Acquisition and Reuse of Multimodal Affective Behaviors in a Conversational Agent

December 16, 2018 International Conference on Human-Agent Interaction 2018 Maike Paetzel (Disney Research/Uppsala) James Kennedy (Disney Research) Ginevra Castellano (Uppsala University) Jill Lehman (Disney Research)

A Two-Level Planning Framework for Mixed Reality Interactive Narratives with User Engagement

December 10, 2018 IEEE AIVR 2018 Manuel Braunschweiler (Disney Research/ETH Joint PhD) Steven Poulakos (Disney Research) Mubbasir Kapadia (Rutgers University) Robert W. Sumner (Disney Research/ETH Zurich)

Disentangled Dynamic Representations from Unordered Data

December 2, 2018 Symposium on Advances in Approximate Bayesian Inference 2018 Leonhard Helminger (Disney Research/ETH Joint PhD) Aziz Djelouah (Disney Research) Markus Gross (Disney Research/ETH Zurich) Romann Weber (Disney Research)

Practical Dynamic Facial Appearance Modeling and Acquisition

November 27, 2018 ACM SIGGRAPH Asia 2018 Paulo Gotardo (Disney Research) Jeremy Riviere (Disney Research) Derek Bradley (Disney Research) Abhijeet Ghosh (Imperial College London) Thabo Beeler (Disney Research)

Appearance Capture and Modeling of Human Teeth

November 27, 2018 ACM SIGGRAPH Asia 2018 Zdravko Velinov (Disney Research/Rheinische Friedrich-Wilhelms-Universität Bonn) Marios Papas (Disney Research) Derek Bradley (Disney Research) Paulo Gotardo (Disney Research) Parsa Mirdehghan (Disney Research) Steve Marschner (Cornell University) Jan Novak (Disney Research) Thabo Beeler (Disney Research)

Set-In-Stone: Worst-Case Optimization of Structures Weak in Tension

November 27, 2018 ACM SIGGRAPH Asia 2018 Christian Schumacher (Disney Research) Jonas Zehnder (Disney Research/Université de Montréal) Moritz Baecher (Disney Research)

A radiative transfer framework for non-exponential media

November 27, 2018 ACM SIGGRAPH Asia 2018 Benedikt Bitterli (Dartmouth College) Srinath Ravichandran (Dartmouth College) Thomas Müller (Disney Research/ETH Joint PhD) Magnus Wrenninge (Pixar Animation Studios) Jan Novak (Disney Research) Steve Marschner (Cornell University) Wojciech Jarosz (Dartmouth College)

Bend-It: Design and Fabrication of Kinetic Wire Characters

November 27, 2018 ACM SIGGRAPH Asia 2018 Hongyi Xu (Disney Research) Espen Knoop (Disney Research) Stelian Coros (ETH Zurich) Moritz Baecher (Disney Research)

PuppetPhone: Puppeteering Virtual Characters Using a Smartphone

November 8, 2018 Conference on Motion, Interaction and Games Raphael Anderegg (Disney Research/ETH Joint M.Sc.) Loic Ciccone (ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

PICA: Proactive Intelligent Conversational Agent for Interactive Narratives

November 5, 2018 International Conference on Intelligent Virtual Agents (IVA) 2018 Jessica Falk (ETH Zurich) Steven Poulakos (Disney Research) Mubbasir Kapadia (Rutgers University) Robert W. Sumner (Disney Research)

AR Costumes: Automatically Augmenting Watertight Costumes from a single RGB Image

Ocotber 30, 2018 International Conference on Intelligent Virtual Agents (IVA) 2018 Christoph Maurhofer (DRZ/ETH Joint M.Sc.) Gokçen Çimen (DRZ/ETH Joint PhD) Mattia Ryffel (Disney Research) Robert W. Sumner (Disney Research) Martin Guay (Disney Research)

Designing Groundless Body Channel Communication Systems: Performance and Implications

October 14, 2018 ACM Symposium on User Interface Software and Technology (ACM UIST) 2018 Virag Varga (Disney Research/ETH Joint PhD) Marc Wyss (Disney Research/ETH Joint B.Sc.) Gergely Vakulya (Disney Research/ETH Zurich) Alanson Sample (Disney Research) Thomas Gross (ETH Zurich)

PaintCopter: An Autonomous UAV for Spray Painting on 3D Surfaces

October 2, 2018 IEEE Robotics and Automation Letters (RA-L) 2018 Anurag Vempati (Disney Research/ETH Joint PhD) Mina Kamel (ETH Zurich) Nikola Stilinovic (Disney Research) Qixuan Zhang (Disney Research) Dorothea Reusser (Disney Research) Inkyu Sa (ETH Zurich) Juan Nieto (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

StreetMap – Mapping and Localization on Ground Planes using a Downward Facing Camera

October 1, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018 Xu Chen (Disney Research) Anurag Vempati (Disney Research/ETH Joint PhD) Paul Beardsley (Disney Research)

Closed-Loop Temperature Control of Nylon Artificial Muscles

October 1, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018 Carter Haines (University of Texas at Dallas) Gunter Niemeyer (Disney Research)

On Regularized Losses for Weakly-supervised CNN Segmentation

September 8, 2018 European Conference on Computer Vision (ECCV) 2018 Meng Tang (University of Waterloo) Federico Perazzi (Adobe Research) Aziz Djelouah (Disney Research) Ismail Ben Ayed (ETS Montreal) Christopher Schroers (Disney Research) Yuri Boykov (University of Waterloo)

Deep Video Color Propagation

September 4, 2018 British Machine Vision Conference 2018 Simone Schaub (Disney Research/ETH Joint PhD) Victor Cornillère (Disney Research) Aziz Djelouah (Disney Research) Christopher Schroers (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Expressing Coherent Personality with Incremental Acquisition of Multimodal Behaviors

August 27, 2018 International Symposium on Robot and Human Interactive Communication (RO-MAN) 2018 Pedro Mota (Disney Research/Technical University of Lisbon) Maike Paetzel (Disney Research/Uppsala) Andrea Fox (Disney Research) Aida Amini (Disney Research/University of Washington) Sid Srinivasan (Disney Research/Georgia Tech) James Kennedy (Disney Research) Jill Lehman (Disney Research)

Denoising Deep Monte Carlo Renderings

August 27, 2018 EU Computer Graphics Forum (EU CGF) 2018 Delio Vicini (Disney Research/Walt Disney Animation Studios) David Adler (Walt Disney Animation Studios) Jan Novak (Disney Research) Fabrice Rousselle (Disney Research) Brent Burley (Walt Disney Animation Studios)

An Omnistereoscopic Video Pipeline for Capture and Display of Real-World VR

August 9, 2018 ACM Transactions on Graphics 2018 Christopher Schroers (Disney Research) Jean-Charles Bazin (KAIST) Alexander Sorkine-Hornung (Disney Research)

Mechanical Characterization of Structured Sheet Materials

July 30, 2018 ACM SIGGRAPH 2018 Christian Schumacher (Disney Research/ETH Joint PhD) Steve Marschner (Cornell University) Markus Gross (Disney Research/ETH Zurich) Bernhard Thomaszewski (Université de Montréal)

Denoising with Kernel Prediction and Asymmetric Loss Functions

July 30, 2018 ACM SIGGRAPH 2018 Thijs Vogels (Disney Research) Fabrice Rousselle (Disney Research) Brian McWilliams (Disney Research) Gerhard Röthlin (Disney Research) Alex Harvill (Pixar Animation Studios) David Adler (Walt Disney Animation Studios) Mark Meyer (Pixar Animation Studios) Jan Novak (Disney Research)

An Empirical Rig for Jaw Animation

July 30, 2018 ACM SIGGRAPH 2018 Gaspard Zoss (Disney Research) Derek Bradley (Disney Research) Pascal Bérard (Disney Research/ETH Joint PhD) Thabo Beeler (Disney Research)

AR Poser: Automatically Augmenting Mobile Pictures with Digital Avatars Imitating Poses

July 18, 2018 12th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2018 Gokçen Çimen (ETH Zurich) Christoph Maurhofer (Disney Research/ETH Joint M.Sc.) Robert W. Sumner (Disney Research) Martin Guay (Disney Research)

Disentangled Sequential Autoencoder

July 1, 2018 International Conference on Machine Learning (ICML) 2018 Yingzhen Li (University of Cambridge) Stephan Mandt (Disney Research)

Challenges in Exploiting Conversational memory in Human-Agent Interaction

July 11, 2018 International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2018 Joana Campos (Carnegie Mellon University, Disney Research) James Kennedy (Disney Research) Jill Lehman (Carnegie Mellon University, Disney Research)

User-Guided Lip Correction for Facial Performance Capture

July 11, 2018 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2018 Dimitar Dinev (Disney Research/University of Utah) Thabo Beeler (Disney Research) Derek Bradley (Disney Research) Moritz Baecher (Disney Research) Hongyi Xu (Disney Research) Ladislav Kavan (University of Utah)

Improving Optimization in Models with Continuous Symmetry Breaking

July 1, 2018 International Conference on Machine Learning (ICML) 2018 Robert Bamler (Disney Research) Stephan Mandt (Disney Research)

HairControl: A Tracking Solution for Directable Hair Simulation

July 11, 2018 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2018 Antoine Milliez (Disney Research/ETH Joint PhD) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich) Bernhard Thomaszewski (Disney Research/Université de Montréal)

Quasi Monte Carlo Variational Inference

July 9, 2018 International Conference on Machine Learning (ICML) 2018 Alexander Buchholz (ENSAE-CREST) Florian Wenzel (Humboldt University of Berlin) Stephan Mandt (Disney Research)

Iterative Amortized Inference

July 9, 2018 International Conference on Machine Learning (ICML) 2018 Joe Marino (California Institute of Technology (Caltech)) Yisong Yue (California Institute of Technology (Caltech)) Stephan Mandt (Disney Research) 

Computational Design of Robotic Devices from High-Level Motion Specifications

July 3, 2018 IEEE Transactions on Robotics 2018 Sehoon Ha (Disney Research) Stelian Coros (ETH Zurich) Alex Alspach (Disney Research) James Bern (ETH Zurich) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot

June 27, 2018 International Conference on Ubiquitous Robots 2018 Sehoon Ha (Disney Research) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

Normalized Cut Loss for Weakly-supervised CNN Segmentation

June 18, 2018 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2018 Meng Tang (Disney Research/University of Waterloo) Aziz Djelouah (Disney Research) Federico Perazzi (Disney Research) Yuri Boykov (University of Waterloo) Christopher Schroers (Disney Research)

PhaseNet for Video Frame Interpolation

June 18, 2018 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2018 Simone Schaub (Disney Research/ETH Joint PhD) Aziz Djelouah (Disney Research) Brian McWilliams (Disney Research) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich) Christopher Schroers (Disney Research)

A Progressive Approach to Single-Image Super-Resolution

June 18, 2018 CVPR NTIRE Workshop 2018 Yifan Wang (Disney Research/ETH Joint PhD) Federico Perazzi (Disney Research) Brian McWilliams (Disney Research) Alexander Sorkine-Hornung (Disney Research) Olga Sorkine-Hornung (ETH Zurich) Christopher Schroers (Disney Research)

Computational Co-Optimization of Design Parameters and Motion Trajectories for Robotic Systems

June 5, 2018 International Journal of Robotics Research 2018 Sehoon Ha (Disney Research) Stelian Coros (ETH Zurich) Alex Alspach (Toyota Research Institute) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

Compressed Animated Light Fields with Real-time View-dependent Reconstruction

April 30, 2018 IEEE Transactions on Visualization and Computer Graphics (TVCG) 2018 Charalampos Koniaris (Disney Research) Maggie Kosek (Disney Research) David Sinclair (Disney Research ) Kenny Mitchell (Disney Research)

Design and Fabrication of a Soft Robotic Hand and Arm System

April 25, 2018 IEEE-RAS International Conference on Soft Robotics 2018 Alex Alspach (Disney Research) Joohyung Kim (Disney Research) Katsu Yamane (Disney  Research)

Force Jacket: Pneumatically-Actuated Jacket for Embodied Haptic Experiences

April 21, 2018 ACM Conference on Human Factors in Computing Systems (CHI) 2018 Alexandra Delazio (Disney Research) Ken Nakagaki (Disney Research/MIT) Roberta Klatzky (Carnegie Mellon University) Scott Hudson (Disney Research/Carnegie Mellon University) Jill Lehman (Disney Research) Alanson Sample (Disney Research)

Wall++: Room-Scale Interactive and Context-Aware Sensing

April 21, 2018 ACM Conference on Human Factors in Computing Systems (CHI) 2018 Yang Zhang (Disney Research/Carnegie Mellon University) Chouchang (Jack) Yang (Disney Research) Scott Hudson (Disney Research/Carnegie Mellon University) Chris Harrison (Disney Research/Carnegie Mellon University) Alanson Sample (Disney Research)

State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications

April 16, 2018 Eurographics  2018 Michael Zollhöfer (Max Planck Institute for Informatics/Stanford University) Justus Thies (Technical University of Munich) Pablo Garrido (Max Planck Institute for Informatics/Technicolor) Derek Bradley (Disney Research) Thabo Beeler (Disney Research) Patrick Pérez (Technicolor) Marc Stamminger (University of Erlangen-Nuernberg) Matthias Niessner (Technical University of Munich) Christian Theobalt (Max Planck Institute for Informatics) 

Monte Carlo Methods for Volumetric Light Transport Simulation

April 16, 2018 Eurographics  2018 Jan Novak (Disney Research) Iliyan Georgiev (Solid Angle) Johannes Hanika (Karlsruhe Institute of Technology) Wojciech Jarosz (Dartmouth College)

Recent Advances in Projection Mapping Algorithms,Hardware and Applications

April 16, 2018 Eurographics 2018 Anselm Grundhöfer (Disney Research) Daisuke Iwai (Osaka University)

From Faces to Outdoor Light Probes

April 16, 2018 Eurographics 2018 Dan Calian (University City College London) Tomas Simon (Carnegie Mellon University) Paulo Gotardo (Disney Research) Jean-Francois Lalonde (Laval University) Iain Matthews (Carnegie Mellon University) Kenny Mitchell (Disney Research)

Paxel: A Generic Framework to Superimpose High-Frequency Print Patterns using Projected Light

April 6, 2018 IEEE Transactions on Image Processing 2018 Petar Pjanic (Disney Research) Anselm Grundhöfer (Disney Research)

Exploration of Geometry and Forces Occurring Within Human-to-Robot Handovers

March 25, 2018 IEEE Haptics Symposium 2018 Matthew K.X.J. Pan (University of British Columbia) Elizabeth Croft (University of British Columbia, Canada) Gunter Niemeyer (Disney Research)

Evaluating Social Perception of Human-to-Robot Handovers using the Robot Social Attributes Scale (RoSAS)

March 5, 2018 Human Robot Interaction (HRI) 2018 Matthew K.X.J. Pan (University of British Columbia) Elizabeth Croft (University of British Columbia, Canada) Gunter Niemeyer (Disney Research)

Computer-Assisted Authoring for Natural Language Story Scripts

February 4, 2018 30th Conference on Innovative Applications of Artificial Intelligence (IAAI-18) 2018 Rushit Sanghrajka (Disney Research) Wojciech Witoń (Disney Research) Sasha Schriber (Disney Research) Markus Gross (Disney Research/ETH Zurich) Mubbasir Kapadia (Disney Research/Rutgers University)

InspireMe: Learning Sequence Models for Stories

February 4, 2018 30th Conference on Innovative Applications of Artificial Intelligence (IAAI-18) 2018 Vincent Fortuin (Disney Research/ETH Zurich) Romann M. Weber (Disney Research) Sasha Schriber (Disney Research) Diana Wotruba (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Reversible Jump Metropolis Light Transport using Inverse Mappings

January 31, 2018 ACM Transactions on Graphics (TOG) 2018 Benedikt Bitterli (Disney Research/ETH Joint B.Sc./Dartmouth College) Wenzel Jakob (EPFL) Jan Novak (Disney Research) Wojciech Jarosz (Disney Research/Dartmouth College)

Enabling Interactive Infrastructure with Body Channel Communication

December 31, 2017 Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2017 Virag Varga (Disney Research/ETH Joint PhD) Gergely Vakulya (Disney Research/ETH Zurich) Alanson Sample (Disney Research) Thomas Gross (ETH Zurich)

Method for Efficient CPU-GPU Streaming for Walkthrough of Full Motion Lightfield Video

December 11, 2017 European Conference on Visual Media Production (CVMP) 2017 Floyd Chitalu (University of Edinburgh) Babis Koniaris (Disney Research) Kenny Mitchell (Disney Research)

Story Version Control and Graphical Visualization for Collaborative Story Authoring

December 11, 2017 Conference for Visual Media Production (CVMP) 2017 Fabio Zünd (Disney Research/ETH Joint PhD) Steven Poulakos (Disney Research) Mubbasir Kapadia (Rutgers University) Robert W. Sumner (Disney Research/ETH Zurich)

Towards Emergent Play in Mixed Reality

November 27, 2017 Workshop on Artificial Intelligence Meets Virtual and Augmented Worlds (AIVRAR) 2017 Patrick Misteli (Disney Research/ETH Joint M.Sc.) Steven Poulakos (Disney Research) Mubbasir Kapadia (Rutgers University) Robert W. Sumner (Disney Research/ETH Zurich)

Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks

November 20, 2017 ACM SIGGRAPH Asia 2017 Simon Kallweit (Disney Research/ETH Joint B.Sc.) Thomas Müller (Disney Research/ETH Joint B.Sc.) Brian McWilliams (Disney Research) Markus Gross (Disney Research/ETH Zurich) Jan Novak (Disney Research)

MetaSilicone: Design and Fabrication of Composite Silicone with Desired Mechanical Properties

November 20, 2017 ACM SIGGRAPH Asia 2017 Jonas Zehnder (Disney Research/Université de Montréal) Espen Knoop (Disney Research) Moritz Baecher (Disney Research) Bernhard Thomaszewski (Disney Research/Université de Montréal)

Deep Deformable Patch Metric Learning for Person Re-identification

November 15, 2017 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2017 Slawomir Bak (Disney Research) Peter Carr (Disney Research)

Interacting with Intelligent Characters in AR

November 15, 2017 Workshop on Artificial Intelligence Meets Virtual and Augmented Worlds (AIVRAR) 2017 Gokçen Çimen (ETH Zurich) Ye Yuan (Carnegie Mellon University) Robert W. Sumner (Disney Research) Stelian Coros (ETH Zurich) Martin Guay (Disney Research)

Hand-to-Hand: An Intermanual Illusion of Movement

November 13, 2017 ACM International Conference on Multimodal Interaction (ICMI) 2017 Dario Pittera (Disney Research/University of Sussex) Marianna Obrist (University of Sussex) Ali Israr (Disney Research)

Multimode Quasistatic Cavity Resonators for Wireless Power Transfer

October 27, 2017 IEEE Antennas and Wireless Propagation Letters 2017 Takuya Sasatani (Disney Research) Matthew Chabalko (Disney Research) Yoshihiro Kawahara (University of Tokyo) Alanson Sample (Disney Research) 

Editable Parametric Dense Foliage from 3D Capture

October 22, 2017 International Conference on Computer Vision (ICCV) 2017 Gaurav Chaurasia (Disney Research) Paul Beardsley (Disney Research)

Robust Geometric Self-Calibration of Generic Multi-Projector Camera Systems

October 9, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2017 Simon Willi (Disney Research) Anselm Grundhöfer (Disney Research)

Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming

October 5, 2017 The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) 2017 Sasha Azad (Disney Research) Jingyang Xu (Decision Science, Walt Disney Parks and Resorts) Haining Yu (Decision Science, Walt Disney Parks and Resorts) Boyang Li (Disney Research)

Towards Edge-Aware Spatio-Temporal Filtering in Real-Time

October 2, 2017 IEEE Transactions on Image Processing 2017 Michael Schaffner (Disney Research/ETH Joint PhD) Florian Scheidegger (Disney Research/ETH Joint M.Sc.) Lukas Cavigelli (ETH Zurich) Hubert Kaeslin (ETH Zurich) Luca Benini (ETH Zurich) Aljosa Smolic (Trinity College Dublin)

Validation of the Robot Social Attributes Scale (RoSAS) for Human-Robot Interaction through a Human-to-Robot Handover Use Case

September 24, 2017 IROS 2017 Workshop on Human-Robot Interaction in Collaborative Manufacturing Environments Matt Pan (Disney Research) Elizabeth Croft (University of British Columbia, Canada) Gunter Niemeyer (Disney Research)

Snapbot: a Reconfigurable Legged Robot

September 24, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Joohyung Kim (Disney Research) Alexander Alspach (Disney Research) Katsu Yamane (Disney Research)

Handshakiness: Benchmarking for Human-Robot Hand Interactions

September 24, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Espen Knoop (Disney Research) Moritz Baecher (Disney Research) Vincent Wall (TU Berlin) Raphael Deimel (TU Berlin) Oliver Brock (TU Berlin) Paul Beardsley (Disney Research)

Onboard Real-time Dense Reconstruction of Large-scale Environments for UAV

September 24, 2017 International Conference on Intelligent Robots and Systems (IROS) 2017 Anurag Vempati (Disney Research )Igor Gilitschenski (ETH Zurich) Juan Nieto (ETH Zurich) Paul Beardsley (Disney Research) Roland Siegwart (ETH Zurich)

Toward torque control of a KUKA LBR IIWA for physical human-robot interaction

September 24, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Vinay Chawda (Disney Research) Gunter Niemeyer (Disney Research)

Falling with Style: Sticking the Landing by Controlling Spin during Ballistic Flight

September 24, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Morgan Pope (Disney Research) Gunter Niemeyer (Disney Research)

EM-Comm: Touch Base Communication via Modulated Electromagnetic Emissions

September 13, 2017 ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2017, International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2017 Chouchang (Jack) Yang (Disney Research) Alanson Sample (Disney Research)

Methods for Studying Group Interactions in HRI

September 13, 2017 Robots in Groups and Teams – A CSCW 2017 Workshop 2017 Marynel Vazquez (Robotics Institute, Carnegie Mellon University) Elizabeth J. Carter (Disney Research) Jodi Forlizzi (Disney Research/HCI Institute, Carnegie Mellon University) Scott E. Hudson (Disney Research/HCI Insitute, Carnegie Mellon University) Aaron Steinfeld (Robotics Institute, Carnegie Mellon University)

Deep Spatial Pyramid for Person Re-identification

August 30, 2017 The 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) 2017 Slawomir Bak (Disney Research) Peter Carr (Disney Research)

Augmented Reality Dialog Interface for Multimodal Teleoperation

August 28, 2017 International Symposium on Robot and Human Interactive Communication (RO-MAN) 2017 Andre Pereira (Disney Research) Elizabeth J. Carter (Disney Research) Iolanda Leite (Disney Research) John Mars (Disney Research) Jill Lehmann (Disney Research)

Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent

August 27, 2017 International Conference on Intelligent Virtual Agents (IVA) 2017 James Kennedy (Disney Research) Iolanda Leite (Disney Research, KTH Royal Institute of Technology) André Pereira (Disney Research) Ming Sun (Disney Research) Boyang Li (Disney Research) Rishub Jain (Disney Research/Carnegie Mellon University) Ricson Cheng (Disney Research/Carnegie Mellon University) Eli Pincus (Disney Research/USC Institute for Creative Technologies) Elizabeth J. Carter (Disney Research) Jill Fain Lehman (Disney Research)

AR Museum: A Mobile Augmented Reality Application for Interactive Painting Recoloring

August 23, 2017 Multi Conference on Computer Science and Information Systems 2017 Mattia Ryffel (Disney Research) Fabio Zünd (Disney Research/ETH Joint PhD) Yagiz Aksoy (Disney Research/ETH Joint PhD)Alessia Marra (Disney Research) Maurizio Nitti (Disney Research) Tunc Aydin (Disney Research) Robert W. Sumner (Disney Research)

Predicting the Quality of Short Narratives from Social Media

August 19, 2017 International Joint Conference on Artificial Intelligence (IJCAI) 2017 Tong Wang (Disney Research/University of Massachusetts Boston) Ping Chen (University of Massachusetts Boston) Boyang Albert Li (Disney Research) 

Determinantal Point Processes for Mini-Batch Diversification

August 12, 2017 Conference on Uncertainty in Artificial Intelligence (UAI) 2017 Cheng Zhang (Disney Research) Hedvig Kjellström (KTH Royal Institute of Technology) Stephan Mandt (Disney Research) 

Geometric and Photometric Consistency in a Mixed Video and Galvanoscopic Scanning Laser Projection Mapping System

August 11, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2017 Petar Pjanic (Disney Research) Simon Willi (Disney Research) Anselm Grundhöfer (Disney Research)

Dynamic Word Embeddings

August 6, 2017 International Conference on Machine Learning (ICML) 2017 Robert Bamler (Disney Research) Stephan Mandt (Disney Research)

Coordinated Multi-Agent Imitation Learning

August 6, 2017 International Conference on Machine Learning (ICML) 2017 Hoang Le (California Institute of Technology) Yisong Yue (California Institute of Technology) Peter Carr (Disney Research) Patrick Lucey (STATS LLC)

Noise Reduction on G-Buffers for Monte Carlo Filtering

August 1, 2017 Computer Graphics Forum 2017 Bochang Moon (Disney Research/Gwangju Institute of Science and Technology) Jose A. Iglesias-Guitian (Disney Research) Steven McDonagh (Disney Research/Imperial College London) Kenny Mitchell (Disney Research)

Computational Narrative

July 30, 2017 ACM SIGGRAPH 2017 Courses Mubbasir Kapadia (Rutgers University) Steven Poulakos (Disney Research) Markus Gross (Disney Research/ETH Zürich) Robert W. Sumner (Disney Research/ETH Zürich)

Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees

July 28, 2017 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2017 Vittorio Megaro (Disney Research/ETH Joint PhD) Espen Knoop (Disney Research) Andrew Spielberg (Disney Research/Massachusetts Institute of Technology) David Levin (Massachusetts Institute of Technology) Wojciech Matusik (Massachusetts Institute of Technology) Markus Gross (Disney Research/ETH Zurich) Bernhard Thomaszewski (Disney Research) Moritz Baecher (Disney Research)

Painting by Feature

July 21, 2013 ACM SIGGRAPH 2013 Michal Lukac (CTU in Prague, FEE) Jakub Fiser (CTU in Prague, FEE) Jean-Charles Bazin (ETH Zurich) Ondrej Jamriska (CTU in Prague, FEE) Alexander Sorkine-Hornung (Disney Research) Daniel Sykora (CTU in Prague, FEE)

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

July 22, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Zhiwei Deng (Simon Fraser University) Rajitha Navarathna (Disney Research)  Peter Carr (Disney Research) Stephan Mandt (Disney Research) Ysong Yue (Caltech) Iain Mathews (Disney Research) Greg Mori (Simon Fraser University) 

One-Shot Metric Learning for Person Re-identification

July 22, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Slawomir Bak (Disney Research) Peter Carr (Disney Research)

A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light

July 22, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Mahdi Tehrani (University of California, Irvine) Thabo Beeler (Disney Research) Anselm Grundhöfer (Disney Research)

Weakly-supervised Visual Grounding of Phrases with Linguistic Structures

July 21, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Fanyi Xiao (University of California Davis) Leonid Sigal (Disney Research) Yong Jae Lee (University of California Davis)

Authoring Motion Cycles

July 21, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Loic Ciccone (ETH Zurich) Martin Guay (Disney Research) Maurizio Nitti (Disney Research) Robert W. Sumner (Disney Research)

Spectral Decomposition Tracking for Rendering Heterogeneous Volumes

July 20, 2017 ACM SIGGRAPH 2017 Peter Kutz (Walt Disney Animation Studios) Ralf Habel (Walt Disney Animation Studios) Karl Li (Walt Disney Animation Studios)Jan Novak (Disney Research)

A Deep Learning Approach for Generalized Speech Animation

July 20, 2017 ACM SIGGRAPH 2017 Sarah Taylor (University of East Anglia) Taehwan Kim (California Institute of Technology) Yisong Yue (California Institute of Technology)Moshe Mahler (Disney Research) Jimmy Krahe (Disney Research) Anastasio Garcia Rodrigues (Disney Research) Jessica Hodgins (Disney Research) Iain Matthews (Disney Research)

Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings

July 20, 2017 ACM SIGGRAPH 2017 Steve Bako (University of California Santa Barbara) Thijs Vogels (Disney Research/ETH Joint M.Sc.) Brian McWilliams (Disney Research) Mark Meyer (Pixar Animation Studios) Jan Novak (Disney Research) Alex Harvill (Pixar Animation Studios) Pradeep Sen (University of California, Santa Barbara) Tony DeRose (Pixar Animation Studios)Fabrice Rousselle (Disney Research)

A Computational Design Tool for Compliant Mechanisms

July 20, 2017 ACM SIGGRAPH 2017 Vittorio Megaro (Disney Research/ETH Joint PhD) Jonas Zehnder (Disney Research) Moritz Baecher (Disney Research) Stelian Coros (Carnegie Mellon University) Markus Gross (Disney Research/ETH Zurich) Bernhard Thomaszewski (Disney Research)

Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces

July 20, 2017 ACM SIGGRAPH 2017 Jesús Rodríguez (URJC Madrid) Miguel Otaduy (URJC Madrid) Bernhard Thomaszewski (Disney Research)

Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem

July 12, 2017 Robotics: Science and Systems 2017 Sehoon Ha (Disney Research) Stelian Coros (Carnegie Mellon University) Alex Alspach (Disney Research) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

Active Vertical Stabilization Mechanism for Lightweight Handheld Cameras

July 3, 2017 IEEE International Conference on Advanced Intelligent Mechatronics 2017 Utku Pehlivan (Disney Research) Gunter Niemeyer (Disney Research)

Persistent Memory in Repeated Child-Robot Conversations

June 27, 2017 Interaction Design and Children (IDC) 2017 Iolanda Leite (Disney Research) Andre Pereira (Disney Research) Jill Lehman (Disney Research)

Investigating the Effects of Interactive Features for Preschool Television Programming

June 27, 2017 Interaction Design and Children (IDC) 2017 Liz Carter (Disney Research) Jennifer Hyde (Disney Research) Jessica Hodgins (Disney Research)

Collaborative Storytelling between Robot and Child: A Feasibility Study

June 27, 2017 Interaction Design and Children (IDC) 2017 Ming Sun (Disney Research) Iolanda Leite (Disney Research/KTH Royal Institute of Technology) Jill Fain Lehman (Disney Research) Boyang Albert Li (Disney Research)

Learning Video Object Segmentation from Static Images

July 22, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Federico Perazzi (Disney Research/ETH Joint PhD) Anna Khoreva (Max Planck Institute for Informatics, Saarbrucken) Rodrigo Benenson (Max Planck Institute for Informatics Saarbrucken) Bernt Schiele (Max Planck Institute for Informatics, Saarbrucken) Alexander Sorkine-Hornung (Disney Research)

Designing Effective Inter-Pixel Information Flow for Natural Image Matting

July 22, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 Yagiz Aksoy (Disney Research/ETH Joint PhD) Tunc Aydin (Disney Research) Marc Pollefeys (ETH Zurich)

Practical Path Guiding for Efficient Light-Transport Simulation

June 19, 2017 Eurographics Symposium on Rendering (EGSR) Thomas Müller (Disney Research/ETH PhD) Markus Gross (Disney Research/ETH Zurich) Jan Novak (Disney Research)

Groups Re-identification with Temporal Context

June 7, 2017 International Conference on Multimedia Retrieval 2017 Michal Koperski (Inria Sophia Antipolis) Slawomir Bak (Disney Research) Peter Carr (Disney Research)

Cross-modal Correspondence between Vibrations and Colors

June 6, 2017 IEEE World Haptics Conference 2017 Alexandra Delazio (Disney Research) Ali Israr (Disney Research) Roberta Klatzky (Carnegie Mellon University)

RFID Light Bulb: Enabling Ubiquitous Deployment of Interactive RFID Systems

June 5, 2017 International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2017 Jeremy Gummeson (Disney Research) Jim McCann (Disney Research) Couchang Jack Yang (Disney Research) Damith Ranasinghe (University of Adelaide) Scott Hudson (Carnegie Mellon University) Alanson Sample (Disney Research)

Real-Time Multi-View Facial Capture with Synthetic Training

May 23, 2017 Eurographics 2017 Martin Klaudiny (Disney Research) Steven McDonagh (Disney Research) Derek Bradley ( Disney Research) Thabo Beeler (Disney Research) Kenny Mitchell (Disney Research/Edinburgh Napier University) Thabo Beeler (Disney Research)

Perspective Correct Occlusion-Capable Augmented Reality Displays using Cloaking Optics Constraints

May 22, 2017 Society for Information Display (SID) 2017 Quinn Smithwick (Disney Research) Isella Howlett (Disney Research)

Real-time Rendering with Compressed Animated Light Fields

May 16, 2017 Graphics Interface 2017 Charalampos Koniaris (Disney Research) Maggie Kosek (Disney Research) David Sinclair (Disney Research) Kenny Mitchell (Disney Research)

Riding the Airways: Ultra-Wideband Ambient Backscatter via Commercial Broadcast Systems

May 1, 2017 IEEE Conference on Computer Communication (IEEE Infocom) 2017 Couchang Jack Yang (Disney Research) Jeremy Gummeson (Disney Research) Alanson Sample (Disney Research)

Simulation-Ready Hair Capture

April 24, 2017 Eurographics 2017 Liwen Hu (Disney Research/Pinscreen/University of Southern California) Derek Bradley (Disney Research) Hao Li (Pinscreen/University of Southern California) Thabo Beeler (Disney Research)

Enriching Facial Blendshape Rigs with Physical Simulation

April 24, 2017 Eurographics 2017 Yeara Kozlov (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Moritz Baecher (Disney Research) Bernhard Thomaszewski (Disney Research) Thabo Beeler (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Makeup Lamps: Live Augmentation of Human Faces via Projection

April 24, 2017 Eurographics 2017 Amit Bermano (Disney Research/Princeton University) Markus Billeter (Chalmers University) Daisuke Iwai (Osaka University) Anselm Grundhöfer (Disney Research)

Unmixing-Based Soft Color Segmentation for Image Manipulation

April 21, 2017 ACM Transactions on Graphics (TOG) 2017 Yagiz Aksoy (Disney Research/ETH Joint PhD) Tunc Aydin (Disney Research) Aljoscha Smolic (Disney Research) Marc Pollefeys (ETH Zurich)

Learn How to Choose: Independent Detectors versus Composite Visual Phrases

March 27, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) 2017 Guy Rosenthal (Tel Aviv University) Ariel Shamir (The Interdisciplinary Center) Leonid Sigal (Disney Research)

Catching a Real Ball in Virtual Reality

March 18, 2017 IEEE Virtual Reality 2017 Gunter Niemeyer (Disney Research) Matt Pan (Disney Research)

Rapid One-Shot Acquisition of Dynamic VR Avatars

March 18, 2017 IEEE Virtual Reality 2017 Charles Malleson (Disney Research) Maggie Kosek (Disney Research/Edinburgh Napier University) Martin Klaudiny (Disney Research) Ivan Huerta (Disney Research) Jean-Charles Bazin (Disney Research) Alexander Sorkine-Hornung (Disney Research)Mark Mine (Walt Disney Imagineering,) Kenny Mitchell (Disney Research/Edinburgh Napier University)

Contact Pressure Distribution as an Evaluation Metric for Human-Robot Hand Interactions

March 7, 2017 HRI 2017 workshop – Towards reproducible HRI experiments: scientific endeavors, benchmarking and standardization 2017 Espen Knoop (Disney Research) Moritz Baecher (Disney Research) Paul Beardsley (Disney Research)

Towards Robot Autonomy in Group Conversations: Understanding the Effects of Body Orientation and Gaze

March 6, 2017 Human Robot Interaction (HRI) 2017 Marynel Vazquez (Robotics Institute, Carnegie Mellon University) Elizabeth J, Carter (Disney Research) Braden McDorman (Disney Research) Jodi Forlizzi (Disney Research/Carnegie Mellon University) Aaron Steinfeld (Robotics Institute, Carnegie Mellon University) Scott E. Hudson (Disney Research/Carnegie Mellon University)

Creating Prosodic Synchrony for a Robot Co-player in a Speech-controlled game for Children

March 6, 2017 Human Robot Interaction (HRI) 2017 Najmeh Sadoughi (Disney Research/University of Texas at Dallas) André Pereira (Disney Research) Rishub Jain (Disney Research/Carnegie Mellon University) Iolanda Leite (Disney Research) Jill Fain Lehmann (Disney Research)

Data-Driven Ghosting using Deep Imitation Learning

March 3, 2017 MIT Sloan Sports Analytics Conference 2017 Hoang M. Le (California Institute of Technology) Peter Carr (Disney Research) Yisong Yue (California of Technology) Patrick Lucey (STATS LLC)

Quasistatic Cavity Resonance for Ubiquitous Wireless Power Transfer

July 23, 2015 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2015 Stephane Magnenat (Disney Research) Dat Tien Ngo (EPF Lausanne) Fabio Zünd (Disney Research/ETH Joint PhD) Mattia Ryffel (Disney Research) Chino Noris (Disney Research) Gerhard Röthlin (Disney Research) Alessia Marra (Disney Research) Maurizio Nitti (Disney Research) Pascal Fua (EPF Lausanne) Markus Gross (Disney Research/ETH Zurich) Bob Sumner (Disney Research)

Haplug: A Haptic Plug for Dynamic VR Interactions

February 14, 2017 Asia Haptics 2017 Nobuhisa Hanamitsu (Disney Research) Ali Israr (Disney Research)

METhoD: a Framework for the Emulation of a Delay Tolerant Network Scenario for Media-Content Distribution in Under-Served Regions

January 31, 2017 Book Chapter: River Publisher, indexed by Web of Science Book Citation Index (BkCI) 2017 Adriano Galati (Disney Research) Sandra Siby (Disney Research/ETH Joint Semester Thesis) Theodoros Bourchas (Disney Research) Maria Olivares (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

Advanced Tools and Framework for Historical Film Restoration

January 13, 2017 Journal of Electronic Imaging 2017 Simone Croci (Disney Research) Tunc Aydin (Disney Research) Nikolce Stefanoski (uniqFEED AG) Markus Gross (Disney Research/ETH Zurich) Aljosa Smolic (Trinity College Dublin)

Electromagnetic Time Reversal Focusing of Near Field Waves in Metamaterials

Real-time Physics-based Motion Capture with Sparse Sensors

December 12, 2016 Conference for Visual Media Production (CVMP) 2016 Sheldon Andrews (Disney Research) Ivan Huerta (Disney Research) Taku Komura (University of Edinburgh) Leonid Sigal (Disney Research Kenny Mitchell (Disney Research)

3-Dimensional Charging via Multi-Mode Resonant Cavity Enabled Wireless Power Transfer

November 30, 2015 Transactions on Power Electronics 2015 Matthew J. Chabalko (Disney Research) Alanson P. Sample (Disney Research)

HDR Image Noise Estimation for Denoising Tone Mapped Images

November 24, 2015 Conference for Visual Media Production (CVMP) 2015 Miguel Granados (Disney Research/MPI for Informatics) Tunc Aydin (Disney Research) J. Rafael Tena (Disney Research) Jean-François Lalonde (Laval University) Christian Theobalt (MPI for Informatics)

Evaluating Accessible Graphical Interfaces for Building Story Worlds

November 15, 2016 International Conference on Interactive Digital Storytelling (ICIDS) 2016 Steven Poulakos (Disney Research) Guido Maria Maiga (Disney Research/ETH Joint B.Sc.) Fabio Zünd (Disney Research/ETH Joint PhD) Mubbasir Kapadia (Rutgers University) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zürich)

Semi-situated Learning of Verbal and Nonverbal Content for Repeated Human-Robot Interaction

November 12, 2016 ICMI 2016 Iolanda Leite (Disney Research) Andre Pereira (Disney Research) Allison Funkhouser (Disney Research) Boyang Albert Li (Disney Research) Jill Fain Lehman (Disney Research)

Corrective 3D Reconstruction of Lips from Monocular Video

November 11, 2016 ACM SIGGRAPH Asia 2016 Pablo Garrido (Max Planck Institute for Informatics) Michael Zollhöfer (Max Planck Institute for Informatics) Chenglei Wu (ETH Zurich) Derek Bradley (Disney Research) Patrick Pérez (Technicolor) Thabo Beeler (Disney Research) Christian Theobalt (Max Planck Institute for Informatics)

Image-Space Control Variates for Rendering

November 11, 2016 ACM SIGGRAPH Asia 2016 Fabrice Rousselle (Disney Research) Wojciech Jarosz (Dartmouth College) Jan Novak (Disney Research)

Efficient Rendering of Heterogeneous Poly-Disperse Granular Media

November 11, 2016 ACM SIGGRAPH Asia 2016 Thomas Müller (Disney Research/ETH Joint PhD) Marios Papas (Disney Research) Markus Gross (Disney Research/ETH Zurich) Wojciech Jarosz (Dartmouth College) Jan Novak (Disney Research)

Model-Based Teeth Reconstruction

November 11, 2016 ACM SIGGRAPH Asia 2016 Chenglei Wu (ETH Zürich) Derek Bradley (Disney Research) Pablo Garrido (Max Planck Institute for Informatics) Michael Zollhöfer (Max Planck Institute for Informatics) Christian Theobolt (Max Planck Institute for Informatics) Markus Gross (Disney Research/ETH Zürich) Thabo Beeler (Disney Research)

Synthetic Prior Design for Real-Time Face Tracking

October 25, 2016 3D International Conference on 3D Vision (3DV) 2016 Steven McDonagh (Disney Research) Martin Klaudiny (Disney Research) Thabo Beeler (Disney Research) Derek Bradley (Disney Research) Iain Matthews (Disney Research) Kenny Mitchell (Disney Research)

Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction

October 25, 2016 3D International Conference on 3D Vision (3DV) 2016 Katja Wolff (Disney Research/ ETH Zurich) Kim Changil (ETH Zurich) Henning Zimmer (Disney Research) Christopher Schroers (Disney Research) Mario Botsch (Bielefeld University) Olga Sorkine-Hornung (ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

An Event-Centric Approach to Authoring Stories in Crowds

October 10, 2016 Motion in Games 2016 Mubbasir Kapadia (Rutgers University) Alexander Shoulson (Disney Research) Cyril Steimer (Disney Research/ETH Joint B.Sc.) Samuel Oberholzer (Disney Research/ETH Joint B.Sc.) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Multi-party Language Interaction in a Fast-paced Game Using Multi-keyword Spotting

September 20, 2016 International Conference on Intelligent Virtual Agents (IVA) 2016 Jill Lehman (Disney Research) Nikolas Wolfe (Disney Research) Andre Pereira (Disney Research)

A 3D Printer for Interactive Electromagnetic Devices

October 16, 2016 ACM Symposium on User Interface Software and Technology (ACM UIST) 2016 Huaishu Peng (Disney Research/Computing and Information Science) Francois Guimbretiere (Disney Research/Cornell University) James McCann (Disney Research) Scott E. Hudson (Disney Research/Carnegie Mellon University)

ActionSnapping: Motion-based Video Synchronization

October 15, 2016 European Conference on Computer Vision (ECCV) 2016 Jean-Charles Bazin (Disney Research) Alexander Sorkine-Hornung (Disney Research)

A Task-level iterative learning control algorithm for accurate tracking in manipulators with modeling errors and stringent joint position limits

October 12, 2016 Dynamic Systems and Control Conference 2016 Pranav Bhounsule (University of Texas San Antonio) Abhishek Bapat (University of Texas San Antonio) Katsu Yamane (Disney Research)

Tree Cavity Inspection Using Aerial Robots

October 11, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016 Kelly Steich (Disney Research Zurich/ETH Zurich) Mina Kamel (ETH Zurich) Paul Beardsley (Disney Research) Martin K. Obrist (Swiss Federal Institute for Forest, Snow and Landscape Research WSL) Roland Siegwart (ETH Zurich) Thibault Lachat (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

Mechanical Implementation of a Variable-Stiffness Actuator for a Softly Strummed Ukulele

October 11, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016 Austin B. Lawrence (Disney Research) Alex N. Alspach (Disney Research) Darrin C. Bentivegna (Disney Research)

Dynamic Skin Deformation SimulationUsing Musculoskeletal Model and Soft Tissue Dynamics

October 11, 2016 Pacific Graphics 2016 Akihiko Murai (National Institute of Advanced Industrial Science and Technology) Q Youn Hong (Carnegie Mellon University Katsu Yamane (Disney Research) Jessica Hodgins (Disney Research)

Task-based Limb Optimization for Legged Robots

October 11, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016 Sehoon Ha (Disney Research) Stelian Coros (Carnegie Mellon University Alex Alspach (Disney Research) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

Programmable Animation Texturing using Motion Stamps

October 11, 2016 Pacific Graphics 2016 Antoine Milliez (Disney Research/ETH Joint PhD) Martin Guay (Disney Research) Marie-Paule Cani (Inria Grenoble Rhone-Alpes) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

Reduced Aggregate Scattering Operators for Path Tracing

October 11, 2016 Pacific Graphics 2016 Adrian Blumer (Disney Research/ETH Joint M.Sc.) Jan Novak (Disney Research) Ralf Habel (Disney Research) Derek Nowrouzezahrai (University of Montreal) Wojciech Jarosz (Disney Research/Dartmouth College)

Pixel History Linear Models for Real-Time Temporal Filtering

October 11, 2016 Pacific Graphics 2016 Jose A. Iglesias-Guitian (Disney Research) Bochang Moon (Disney Research) Charalampos Koniaris (Disney Research) Eric Smolikowski (Walt Disney Imagineering) Kenny Mitchell (Disney Research)

Balancing 3D Models with Movable Masses

October 10, 2016 International Workshop on Vision Modeling and Visualization (VMV) 2016 Romain Prevost (Disney Research/ETH Joint PhD) Moritz Baecher (Disney Research) Wojciech Jarosz (Dartmouth College) Olga Sorkine-Hornung (ETH Zurich)

Suggesting Sounds for Images from Video Collections

October 8, 2016 ECCV Workshop (Computer Vision for Audio-Visual Media) 2016 Matthias Soler (Disney Research/ETH Joint M.Sc.) Jean-Charles Bazin (Disney Research) Oliver Wang (Disney Research) Andreas Krause (ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Deep Static and Dynamic Level Analysis: A Study on Infinite Mario

October 8, 2016 Experimental AI in Games Workshop 2016 Matthew Guzdial (Disney Research/Georgia Institute of Technology) Nathan Sturtevant (University of Denver) Boyang Albert Li (Disney Research)

Circuit Model for Resonant Cavity Mode Enabled Wireless Power Transfer

October 4, 2016 The European Microwave Conference 2016 Mohsen Shahmohammadi (Disney Research) Matt Chabalko (Disney Research) Alanson Sample (Disney Research)

Spatio-Temporal Point Path Analysis and Optimization of a Galvanoscopic Scanning Laser Projector

October 1, 2016 IEEE Transactions on Visualization and Computer Graphics ( Volume: 22, Issue: 11, Nov. 2016 ) Simon Willi (Disney Research) Anselm Grundhöfer (Disney Research)

Time-Multiplexed Projection System with Improved Spatial Resolution

September 29, 2016 Journal of the Society for Information Display 2016 Hagen Seifert (Disney Research) Nicola Ranieri (ETH Zurich) Quinn Smithwick (Disney Research) Markus Gross (Disney Research/ETH Zurich)

A Switched Emissive Transparent Display with Controllable per-pixel Opacity

September 29, 2016 Society for Information Display (SID) 2016 Quinn Smithwick (Disney Research)

Real-Time Temporally Coherent Local HDR Tone Mapping

September 25, 2016 International Conference on Image Processing (ICIP) 2016 Simone Croci (Disney Research/ETH Joint M.Sc.) Tunc Aydin (Disney Research) Nikolce Stefanoski (Disney Research) Markus Gross (Disney Research/ETH Zurich) Aljoscha Smolic (Disney Research)

PLOTSHOT: Generating Discourse-constrained Stories around Photos

September 19, 2016 The Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2016 Rogelio Cardona-Rivera (Disney Research/North Carolina State University) Boyang Albert Li (Disney Research)

Globally Continuous and Non-Markovian Activity Analysis from Videos

September 15, 2016 European Conference on Computer Vision (ECCV) 2016 He Wang (Disney Research) Carol O’Sullivan (Disney Research)

Phase-Based Modification Transfer for Video

September 15, 2016 European Conference on Computer Vision (ECCV) 2016 Simone Meyer (Disney Research/ETH Joint M.Sc.) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich)

An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games

September 8, 2016 Interspeech 2016 Theodora Chaspari (Disney Research/University of Southern California) Jill Fain Lehman (Disney Research)

G-g-go! Juuump! Online Performance of a Multi-keyword Spotter in a Real-time game

September 6, 2016 WOCCI 2016 Jill Fain Lehman (Disney Research) Nikolas Wolfe (Disney Research) André Pereira (Disney Research)

The Role of Phonological Processes and Acoustic Confusability in Phone Errors in Children’s ASR

September 6, 2016 WOCCI 2016 Eva Fringi (Disney Research/University of Birmingham) Jill Fain Lehman (Disney Research) Martin Russell (Disney Research/University of Birmingham)

Turn-taking, Children, and the Unpredictability of Fun

September 1, 2016 AI Magazine 2016 Jill Fain Lehman (Disney Research) Iolanda Leite (Disney Research)

Walk the Talk: Coordinating Gesture with Locomotion for Conversational Characters

August 31, 2016 Computer Animation and Virtual Worlds 2016 Yingying Wang (University of California, Davis)Kerstin Ruhland (Trinity College Dublin) Rachel McDonnell (Trinity College Dublin) Michael Neff (University of California, Davis) Carol O’Sullivan (Disney Research/Trinity College Dublin)

Imitating Human Movement with Teleoperated Robotic Head

August 26, 2016 International Symposium on Robot and Human Interactive Communication (RO-MAN) (2016) Priyanshu Agarwal (Disney Research/University of Texas) Samer Al Moubayed (Disney Research) Alexander Alspach (Disney Research)Joohyung Kim (Disney Research) Elizabeth J. Carter (Disney Research) Jill Fain Lehman (Disney Research) Katsu Yamane (Disney Research)

Maintaining Awareness of the Focus of Attention of a Conversation: A Robot-Centric Reinforcement Learning Approach

August 26, 2016 International Symposium on Robot and Human Interactive Communication (RO-MAN) (2016) Marynel V´azquez (Carnegie Mellon University) Aaron Steinfeld (Carnegie Mellon University) Scott E. Hudson (DisneyResearch|Studios/Carnegie Mellon University)

Study of Children’s Hugging for Interactive Robot Design

August 26, 2016 International Symposium on Robot and Human Interactive Communication (RO-MAN) 2016 Joohyung Kim (Disney Research) Alexander Alspach (Disney Research) Iolanda Leite (Disney Research) Katsu Yamane (Disney Research) 

Estimation of Children’s Physical Characteristics from their Voices

August 9, 2016 Interspeech 2016 Jill Lehman (Disney Research) Rita Singh (Disney Research)

Interactive High-Quality Green-Screen Keying via Color Unmixing

September 22, 2016 ACM Transactions on Graphics (TOG) 2016 Yagiz Aksoy (Disney Research/ETH Joint PhD) Tunc Aydin (Disney Research) Marc Pollefeys (ETH Zurich) Aljoscha Smolic (Disney Research)

Multiplicative Representation for Unsupervised Semantic Role Induction

August 7, 2016 The Annual Meeting of the Association for Computational Linguistics 2016 Yi Luan (Disney Research/University of Washington) Yangfeng Ji (Georgia Institute of Technology) Hannaneh Hajishirzi (University of Washington) Boyang Li (Disney Research)

FrankenFolk: Distinctiveness and Attractiveness of Voice and Motion

July 29, 2016 ACM Transactions on Applied Perception (ACM TAP) 2016 Jan Ondrej (Disney Research) Cathy Ennis (Dublin Institute of Technology) Niamh Merriman (Disney Research) Carol O’Sullivan (Trinity College Dublin)

User, Metric, and Computational Evaluation of Foveated Rendering Methods

July 29, 2016 ACM Symposium on Applied Perception 2016 Nicholas Swafford (University of Bath) Jose A. Iglesias-Guitian (Disney Research) Charalampos Koniaris (Disney Research) Bochang Moon (Disney Research) Darren Cosker (Bath University) Kenny Mitchell (Disney Research)

Automultiscopic displays based on orbital angular momentum of light

July 20, 2016 Journal of Optics 2016 Li Xuefeng (University of Cambridge) Jiaqi Chu (University of Cambridge) Quinn Smithwick (Disney Research) Daping Chu (University of Cambridge)

Anatomically-Constrained Local Deformation Model for Monocular Face Capture

July 11, 2016 ACM SIGGRAPH 2016 Chenglei Wu (ETH Zurich) Derek Bradley (Disney Research) Markus Gross (Disney Research/ETH Zurich) Thabo Beeler (Disney Research)

Lightweight Eye Capture Using a Parametric Model

July 11, 2016 ACM SIGGRAPH 2016 Pascal Berard (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Markus Gross (Disney Research/ETH Zurich) Thabo Beeler (Disney Research)

CANVAS: Computer-Assisted Narrative Animation Synthesis

July 11, 2016 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2016 Mubbasir Kapadia (Disney Research/Rutgers University) Seth Frey (Disney Research/Dartmouth College) Alexander Shoulson (Disney Research) Robert W. Sumner (Disney Research/ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

Real-time Skeletal Skinning with Optimized Centers of Rotation

July 11, 2016 ACM SIGGRAPH 2016 Binh Huy Le (Disney Research) Jessica K. Hodgins (Disney Research)

Computational Thermoforming

July 11, 2016 ACM SIGGRAPH 2016 Christian Schüller (ETH Zurich) Daniele Panozzo (ETH Zurich) Anselm Grundhöfer (Disney Research) Henning Zimmer (Disney Research) Evgeni Sorkine (ETH Zurich) Olga Sorkine-Hornung (ETH Zurich)

Adaptive Polynomial Rendering

July 11, 2016 ACM SIGGRAPH 2016 Bochang Moon (Disney Research) Steven McDonagh (Disney Research) Kenny Mitchell (Disney Research/Edinburgh Napier University) Markus Gross (Disney Research/ETH Zürich)

Acoustic Voxels: Computational Optimization of Modular Acoustic Filters

July 11, 2016 ACM SIGGRAPH 2016 Dingzeyu Li(Columbia University) David Levin (Disney Research) Wojciech Matusik (MIT CSAIL) Changxi Zheng (Columbia University)

A Compiler for 3D Machine Knitting

July 10, 2016 ACM SIGGRAPH 2016 James McCann (Disney Research) Lea Albaugh (Disney Research)Vidya Narayanan (Disney Research) April Grow (Disney Research/UC Santa Cruz) Wojciech Matusik (Massacusetts Institute of Technology) Jen Mankoff (Carnegie Mellon University) Jessica Hodgins (Disney Research)

Designing Structurally-Sound Ornamental Curve Networks

July 4, 2016 ACM SIGGRAPH 2016 Jonas Zehnder (Disney Research) Stelian Coros (Carnegie Mellon University) Bernhard Thomaszewski (Disney Research)

A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

June 27, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Federico Perazzi (Disney Research/ETH Joint PhD) Jordi Pont (ETH Zurich) Brian McWilliams (Disney Research)Luc van Gool (ETH Zurich) Markus Gross (Disney Research/ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Bilateral Space Video Segmentation

June 27, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Nicolas Märki (Disney Research/ETH Joint B.Sc.) Federico Perazzi (Disney Research/ETH Joint PhD) Oliver Wang (Adobe Research) Alexander Sorkine-Hornung (Disney Research)

Harnessing Object and Scene Semantics for Large-Scale Video Understanding

June 27, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Zuxuan Wu (Fudan University) Yanwei Fu (Disney Research) Yu-Gang Jiang (Fudan University) Leonid Sigal (Disney Research)

Learning Activity Progression in LSTMs for Activity Detection and Early Detection

June 27, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Shugao Ma (Boston University) Leonid Sigal (Disney Research) Stan Sclaroff (Boston University)

June 24, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Shugao Ma (Boston University)Leonid Sigal (DisneyResearch)Stan Sclaroff (Boston University)

June 24, 2016 Accepted at IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Zuxuan Wu (Fudan University) Yanwei Fu (Disney Research) Yu-Gang Jiang (Fudan University) Leonid Sigal (Disney Research)

Completed Semi-supervised Vocabulary-informed Learning

June 24, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Yanwei Fu (Disney Research) Leonid Sigal (Disney Research)

Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees

June 24, 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Jianhui Chen (University of British Columbia) Hoang M. Le (California Institute of Technology) Peter Carr (Disney Research) Yisong Yue (California Institute of Technology) James J. Little (University of British Columbia)

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings

June 22, 2016 Eurographics Symposium on Rendering (EGSR) 2016 Benedikt Bitterli (Disney Research)Fabrice Rousselle (Disney Research)Bochang Moon (Disney Research)Jose A. Iglesias-Guitian (Disney Research)David Adler (Walt Disney Animation Studios)Kenny Mitchell (Disney Research/Edinburgh Napier University)Wojciech Jarosz (Dartmouth College)Jan Novak (Disney Research)

Designing Animated Characters for Children of Different Ages

June 21, 2016 Interaction Design and Children (IDC) 2016 Elizabeth J. Carter (Disney Research) Moshe Mahler (Disney Research) Maryyann Landlord (Disney Research) Kyna McIntosh (Disney Research) Jessica K. Hodgins (Disney Research)

The Robot Who Knew Too Much: Toward Understanding the Privacy/Personalization Trade-off in Child-Robot Conversation

June 21, 2016 Interaction Design and Children (IDC) 2016 Iolanda Leite (Disney Research) Jill Fain Lehman (Disney Research)

Stenciling: Designing Structurally-Sound Surfaces with Decorative Patterns

June 20, 2016 Eurographics Symposium on Geometry Processing 2016 Christian Schumacher (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Smooth Imitation Learning for Online Sequence Prediction

June 19, 2016 International Conference on Machine Learning (ICML) 2016 Hoang M. Le (California Institute of Technology) Andrew Kang (California Institute of Technology) Yisong Yue (California Institute of Technology) Peter Carr (Disney Research)

Design of a Hopping Mechanism Using a Voice Coil: Linear Elastic Actuator in Parallel (LEAP)

May 16, 2016 IEEE International Conference on Robotics and Automation (ICRA) 2016 Zachary Batts (Disney Research) Joohyung Kim (Disney Research) Katsu Yamane (Disney Research)

A Hybrid Hydrostatic Transmission and Human-Safe Haptic Telepresence Robot

May 16, 2016 IEEE International Conference on Robotics and Automation (ICRA) 2016 John P. Whitney (Northeastern University) Tianyao Chen (The Catholic University of America) John Mars (Disney Research) Jessica K. Hodgins (Disney Research/Carnegie Mellon University)

DefSense: Computational Design of Customized Deformable Input Devices

May 7, 2016 CHI Interactivity 2016 Moritz Baecher (Disney Research) Benjamin Hepp (ETH Zurich) Fabrizio Pece (ETH Zurich) Paul Kry (McGill University) Bernd Bickel (IST (Institute of Science and Technology Austria)) Bernhard Thomaszewski (Disney Research) Otmar Hilliges (ETH Zurich)

RapID: A Framework for Fabricating Low-Latency Interactive Objects with RFID Tags

May 7, 2016 CHI Interactivity 2016 Andrew Spielberg (Disney Research/Massachusetts Institute of Technology) Alanson Sample (Disney Research) Scott E. Hudson (Disney Research/Carnegie Mellon University) Jennifer Mankoff (Disney Research/Carnegie Mellon University) James McCann (Disney Research) 

PaperID: A Technique for Drawing Functional Battery-Free Wireless Interfaces on Paper

May 7, 2016 CHI Interactivity 2016 Hanchuan Li (Disney Research/University of Washington Seattle) Eric Brockmeyer (Disney Research) Elizabeth J. Carter (Disney Research) Josh Fromm (University of Washington Seattle) Scott E. Hudson (Disney Research/Carnegie Mellon University) Shwetak N. Patel (University of Washington Seattle) Alanson Sample (Disney Research)

EM-ID: Tag-less Identification of Electrical Devices via Electromagnetic Emissions

May 3, 2016 IEEE International Conference on RFID 2016 Alanson P. Sample (Disney Research) Chouchang Yang (Disney Research)

High-Q and Over-Coupled Tuning for Near-Field RFID Systems

May 3, 2016 IEEE International Conference on RFID 2016 Mohsen Shahmohammadi (Disney Research) Matt Chabalko (Disney Research) Alanson P. Sample (Disney Research)

An Energy-interference-free Hardware-Software Debugger for Intermittent Energy-harvesting Systems

April 2, 2016 International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2016 Alexei Colin (Disney Research/Carnegie Mellon University) Graham Harvey (Disney Research/Carnegie Mellon University) Brandon Lucia (Carnegie Mellon University) Alanson Sample (Disney Research)

Large-Scale Painting of Photographs by Interactive Optimization

April 1, 2016 Computers & Graphics (2016) Romain Prevost (Disney Research/ETH Joint PhD) Alec Jacobson (ETH Zurich/Columbia University) Wojciech Jarosz (Disney Research/Dartmouth College) Olga Sorkine-Hornung (ETH Zurich)

Predicting Movie Ratings from Audience Behaviors

March 24, 2016 IEEE Winter Conference on Applications of Computer Vision Rajitha Navarathna (Disney Research/Queensland University of Technology) Patrick Lucey (Disney Research) Peter Carr (Disney Research) Elizabeth Carter (Carnegie Mellon University) Sridha Sridharan (Queensland University of Technology) Iain Matthews (Disney Research)

A coarse integral holography approach for real 3D colour video display

March 17, 2016 Optics Express 2016 Jhen-Si Chen (University of Cambridge) Quinn Smithwick (Disney Research) Daping Chu (University of Cambridge)

Underwater 3D Capture using a Low-Cost Commercial Depth Camera

March 7, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 Sundara Tejaswi Digumarti (Disney Research/ETH Joint PhD) Aparna Taneja (Disney Research) Amber Thomas (Walt Disney World) Gaurav Chaurasia (Disney Research) Roland Siegwart (ETH Zurich)Paul Beardsley (Disney Research)

Assessing Tracking Performance in Complex Scenarios using Mean Time Between Failures

March 7, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 Peter Carr (Disney Research) Robert T. Collins (The Pennsylvania State University)

Person Re-identification using Deformable Patch Metric Learning

March 7, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 Slawomir Bak (Disney Research) Peter Carr (Disney Research)

Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval

March 7, 2016 Intelligent User Interfaces (IUI) 2016 Long Sha (Queensland University of Technology) Patrick Lucey (Disney Research) Yisong Yue (California Institute of Technology) Peter Carr (Disney Research) Charlie Rohlf (STATS LLC) Iain Matthews (Disney Research)

Experimental Characterization of 802.11ac Indoor Performance and Fairness

October 3, 2016 WiNTECH – International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization 2016 Lito Kriara (Disney Research) Edgar Costa Molero (Disney Research/ETH Joint M.Sc.) Thomas Gross (ETH Zurich)

Trending Paths: A Metric for Evaluating Crowd Simulation

February 26, 2016 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D) 2016 He Wang (Disney Research) Jan Ondrej (Disney Research) Carol O’Sullivan (Disney Research)

Assumed Density Filtering Methods for Scalable Learning of Bayesian Neural Networks

February 12, 2016 Association for the Advancement of Artificial Intelligence (AAAI) 2016 Soumya Ghosh (Disney Research) Francesco Marie Delle Fave (Disney Research) Jonathan Yedidia (Disney Research)

Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach

February 12, 2016 Association for the Advancement of Artificial Intelligence (AAAI) 2016 Alina Kuznetsova (Leibniz University Hannover) Sung Ju Hwang (UNIST) Bodo Rosenhahn (Leibniz University Hannover) Leonid Sigal (Disney Research)

Scalable Control System for Bluetooth Mobile Devices

January 20, 2016 IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services (WONS) 2016 Giorgio Corbellini (Disney Research) Lukas Kuster (Disney Research/ETH Joint B.Sc.) Thomas Gross (ETH Zurich)

Automatic Multiview Synthesis – Towards a Mobile System on a Chip

December 13, 2015 International Conference on Visual Communications and Image Processing (VCIP) 2015 Michael Schaffner (Disney Research/ETH Joint PhD) Frank Gürkaynak (ETH Zurich) Hubert Kaeslin (ETH Zurich) Luca Benini (ETH Zurich/Università di Bologna) Aljoscha Smolic (Disney Research)

Smooth Imitation Learning

December 12, 2015 Neural Information Processing Systems (NIPS) 2015 Hoang M. Le (California Institute of Technology) Yisong Yue (California Institute of Technology) Peter Carr (Disney Research)

Fully Connected Object Proposals For Video Segmentation

December 11, 2015 International Conference on Computer Vision (ICCV) 2015 Federico Perazzi (Disney Research/ETH Zurich) Oliver Wang (Disney Research) Markus Gross (Disney Research/ETH Zürich) Alexander Sorkine-Hornung (Disney Research)

FaceDirector: Continuous Control of Facial Performance in Video

December 11, 2015 International Conference on Computer Vision (ICCV) 2015 Charles Malleson (Centre for Vision, Speech and Signal Processing, University of Surrey, UK) Jean-Charles Bazin (Disney Research) Oliver Wang (Disney Research) Derek Bradley (Disney Research) Thabo Beeler (Disney Research) Adrian Hilton (Centre for Vision, Speech and Signal Processing, University of Surrey, UK) Alexander Sorkine-Hornung (Disney Research)

Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction

December 11, 2015 International Conference on Computer Vision (ICCV) 2015 Paulo F. U. Gotardo (Disney Research) Tomas Simon (Carnegie Mellon University) Yaser Sheikh (Carnegie Mellon University) Iain Matthews (Disney Research/Carnegie Mellon University)

Real-time Variable Rigidity Texture Mapping

November 24, 2015 Conference for Visual Media Production (CVMP) 2015 Charalampos Koniaris (Disney Research) Kenny Mitchell (Disney Research) Darren Cosker (Bath University)

Guided Ecological Simulation For Artistic Editing of Plant Distributions In Natural Scenes

November 19, 2015 Journal of Computer Graphics Techniques 2015 Gwyneth Bradbury (University College London) Kartic Subr (Disney Research) Charalampos Koniaris (Disney Research) Kenny Mitchell (Disney Research) Tim Weyrich (Disney Research)

Fin Textures for Real-Time Painterly Aesthetics

November 16, 2015 Motion in Games 2015 Nicolas Imhof (Disney Research/ETH Joint M.Sc.) Antoine Milliez (Disney Research/ETH Joint PhD) Flurin Jenal (ZHdK/Game Expressions!) René Bauer (ZHdK) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

Towards an Accessible Interface for Story World Building

November 14, 2015 8th Workshop on Intelligent Narrative Technologies 2015 Steven Poulakos (Disney Research) Mubbasir Kapadia (Rutgers University) Andrea Schuepfer (Disney Research/ETH Joint B.Sc.) Fabio Zünd (Disney Research/ETH Joint PhD) Robert W. Sumner (Disney Research/ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

Toward Better Understanding of Engagement in Multiparty Spoken Interaction with Children

November 9, 2015 ICMI 2015 Samer Al Moubayed (Disney Research) Jill Fain Lehman (Disney Research)

AutoConnect: Computational Design of 3D-Printable Connectors

November 4, 2015 ACM SIGGRAPH Asia 2015 Yuki Koyama (Disney Research/The University of Tokyo) Shinjiro Sueda (Disney Research/Cal Poly) Emma Steinhardt (Disney Research) Takeo Igarashi (The University of Tokyo) Ariel Shamir (Disney Research/IDC Herzliya) Wojciech Matusik (MIT)

Interactive Design of 3D-Printable Robotic Creatures

November 4, 2015 ACM SIGGRAPH Asia 2015 Vittorio Megaro (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research)Maurizio Nitti (Disney Research) Otmar Hilliges (ETH Zurich) Markus Gross (Disney Research/ETH Zurich) Stelian Coros (Carnegie Mellon University)

Interactive Surface Design with Interlocking Elements

November 4, 2015 ACM SIGGRAPH Asia 2015 Melina Skouras (Disney Research/ETH Zurich/MIT CSAIL) Stelian Coros (Disney Research/Carnegie Mellon University) Eitan Grinspun (Columbia University) Bernhard Thomaszewski (Disney Research)

Smoothed Aggregation Multigrid for Cloth Simulation

November 4, 2015 ACM SIGGRAPH Asia 2015 Rasmus Tamstorf (Walt Disney Animation Studios) Toby Jones (Walt Disney Animation Studios) Stephen F. McCormick (University of Colorado)

Augmented Creativity- Bridging the Real and Virtual Worlds to Enhance Creative Play

November 2, 2015 Symposium On Mobile Graphics And Interactive Applications 2015 Fabio Zünd (Disney Research/ETH Joint PhD) Mattia Ryffel (Disney Research) Stephane Magnenat (Disney Research) Alessia Marra (Disney Research) Maurizio Nitti (Disney Research) Mubbasir Kapadia (Rutgers University) Gioacchino Noris (Disney Research) Kenny Mitchell (Disney Research) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

Dispersion-based Color Projection using Masked Prisms

October 7, 2015 Pacific Graphics 2015 Rafael Hostettler (Disney Research/ETH Joint M.Sc.) Ralf Habel (Disney Research) Markus Gross (Disney Research/ETH Zurich) Wojciech Jarosz (Disney Research/Darthmouth College)

Online View Sampling for Estimating Depth from Light Fields

September 27, 2015 International Conference on Image Processing (ICIP) 2015 Changil Kim (Disney Research/ETH Joint PhD) Kartic Subr (Disney Research) Kenny Mitchell (Disney Research) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Robust, Error Tolerant Photometric Projector Compensation

September 14, 2015 Transactions on Image Processing 2015 Anselm Grundhöfer (Disney Research) Daisuke Iwai (Osaka University)

Sackcloth or Silk? The Impact of Appearance vs Dynamics on the Perception of Animated Cloth

September 7, 2015 ACM Symposium on Applied Perception 2015 Carlos Aliaga (Walt Disney Animation Studios/Universidad de Zaragoza) Carol O’Sullivan (Disney Research) Diego Gutierrez (Universidad de Zaragoza) Rasmus Tamstorf (Walt Disney Animation Studios)

Computational Design of Walking Automata

August 7, 2015 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2015 Gaurav Bharaj (Harvard SEAS) Stelian Coros (Carnegie Mellon University ) Bernhard Thomaszewski (Disney Research) James Tompkin (Harvard SEAS) Bernd Bickel (IST Austria) Hanspeter Pfister (Harvard SEAS)

Multi-Scale Modeling and Rendering of Granular Materials

July 27, 2015 ACM SIGGRAPH 2015 Johannes Meng (Disney Research/Karlsruhe Institute of Technology) Marios Papas (Disney Research/ETH Joint PhD) Ralf Habel (Disney Research) Carsten Dachsbacher (Karlsruhe Institute of Technology) Steve Marschner (Cornell University) Markus Gross (Disney Research/ETH Zurich) Wojciech Jarosz (Disney Research/Dartmouth College)

OmniAD: Data-driven Omni-directional Aerodynamics

July 27, 2015 ACM SIGGRAPH 2015 Tobias Martin (ETH Zurich) Nobuyuki Umetani (Disney Research) Bernd Bickel (IST Austria)

Microstructures to Control Elasticity in 3D Printing

July 27, 2015 ACM SIGGRAPH 2015 Christian Schumacher (Disney Research/ETH Joint PhD) Bernd Bickel (Disney Research/IST Austria) Jan Rys (ETH Zurich) Steve Marschner (Cornell University) Chiara Daraio (ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

Real-Time High-Fidelity Facial Performance Capture

July 27, 2015 ACM SIGGRAPH 2015 Chen Cao (Disney Research/Zhejiang University) Derek Bradley (Disney Research) Kun Zhou (Zhejiang University) Thabo Beeler (Disney Research)

Design and Fabrication of Flexible Rod Meshes

July 27, 2015 ACM SIGGRAPH 2015 Jesús Rodríguez (URJC Madrid) Bernhard Thomaszewski (Disney Research) Stelian Coros (Disney Research/Carnegie Mellon University) Bernd Bickel (Disney Research/IST Austria) José Canabal (URJC Madrid) Robert W. Sumner (Disney Research) Miguel OtaduyJ (URJC Madrid)

Sampling Based Scene-Space Video Processing

July 27, 2015 ACM SIGGRAPH 2015 Felix Klose (Disney Research/TU Braunschweig) Oliver Wang (Disney Research) Jean-Charles Bazin (Disney Research) Marcus Magnor (TU Braunschweig) Alexander Sorkine-Hornung (Disney Research)

Detailed Spatio-Temporal Reconstruction of Eyelids

July 27, 2015 ACM SIGGRAPH 2015 Amit Bermano (Disney Research/ETH Joint PhD) Thabo Beeler (Disney Research) Yeara Kozlov (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Bernd Bickel (Disney Research/IST Austria) Markus Gross (Disney Research/ETH Zurich)

Adaptive Rendering with Linear Predictions

July 27, 2015 ACM SIGGRAPH 2015 Bochang Moon (Disney Research) Jose A. Iglesias-Guitian (Disney Research) Sung-Eui Yoon (Korea Advanced Institute of Science and Technology) Kenny Mitchell (Disney Research)

Stereo from Shading

June 24, 2015 Eurographics Symposium on Rendering (EGSR) 2015 Alexandre Chapiro (Disney Research/ETH Joint PhD) Carol O’Sullivan (Disney Research) Wojciech Jarosz (Disney Research) Markus Gross (Disney Research/ETH Zurich) Aljoscha Smolic (Disney Research)

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

June 24, 2015 Eurographics Symposium on Rendering (EGSR) 2015 Henning Zimmer (Disney Research) Fabrice Rousselle (Disney Research) Wenzel Jakob (ETH Zurich) Oliver Wang (Disney Research) David Adler (Walt Disney Animation Studios) Wojciech Jarosz (Disney Research) Olga Sorkine-Hornung (ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Live Texturing of Augmented Reality Characters from Colored Drawings

July 23, 2015 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2015 Stephane Magnenat (Disney Research) Dat Tien Ngo (EPF Lausanne) Fabio Zünd (Disney Research/ETH Joint PhD) Mattia Ryffel (Disney Research) Chino Noris (Disney Research) Gerhard Röthlin (Disney Research) Alessia Marra (Disney Research) Maurizio Nitti (Disney Research) Pascal Fua (EPF Lausanne) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research)

Enhancing Robot Programming With Visual Feedback and Augmented Reality

July 4, 2015 Annual Conference on Innovation and Technology in Computer Science Education 2015 Stephane Magnenat (Disney Research) Morderchai Ben-Ari (Weizmann Institute of Science) Severin Klinger (ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

Portal-Masked Environment Map Sampling

June 24, 2015 Eurographics Symposium on Rendering (EGSR) 2015 Benedikt Bitterli (Disney Research/Walt Disney Animation Studios) Jan Novak (Disney Research) Wojciech Jarosz (Disney Research)

Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies

June 10, 2015 International Workshop on Content-Based Multimedia Indexing 2015 Jordi Pont -Tuset (Disney Research) Miquel Farre (Disney Research) Aljoscha Smolic (Disney Research)

A Methodological Approach to User Evaluation and Assessment of a Virtual Environment Hangout

June 10, 2015 7th International Conference on Intelligent Technologies for Interactive Entertainment 2015 Marco Pasin (Istituto Superiore Mario Boella) Antonella Frisiello (Istituto Superiore Mario Boella) Julie Wall (Queen Mary University of London, UK) Steven Poulakos (Disney Research) Aljoscha Smolic (Disney Research)

Phase-Based Frame Interpolation for Video

June 8, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 Simone Meyer (Disney Research/ETH Joint M.Sc.) Oliver Wang (Disney Research) Henning Zimmer (Disney Research) Max Grosse (Disney Research) Alexander Sorkine-Hornung (Disney Research)

Scalable Structure from Motion for Densely Sampled Videos

June 8, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 Benjamin Resch (Disney Research/Tübingen University) Hendrik Lensch (Tübingen University)) Oliver Wang (Disney Research) Marc Pollefeys (ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Space-Time Tree Ensemble for Action Recognition

June 7, 2015 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2015 Shugao Ma (Boston University) Leonid Sigal (Disney Research) Stan Sclaroff (Boston University)

A Computational Model for Perception of Stereoscopic Window Violations

May 26, 2015 International Workshop on Quality of Multimedia Experience (QoMEX 2015) 2015 Steven Poulakos (Disney Research/ETH Zürich) Rafael Monroy (Fraunhofer IGD) Tunc Aydin (Disney Research) Oliver Wang (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zürich)

Antagonistic Muscle based Robot Control for Physical Interactions

May 26, 2015 IEEE International Conference on Robotics and Automation (ICRA) 2015 Tapomayukh Bhattacharjee (Disney Research) Günter Niemeyer (Disney Research)

High-Performance Robotic Muscles from Conductive Nylon Sewing Thread

May 26, 2015 IEEE International Conference on Robotics and Automation (ICRA) 2015 Michael Yip (Disney Research) Günter Niemeyer (Disney Research)

Scalable Asynchronous Contact Mechanics with Charm++

May 25, 2015 IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2015 Xiang Ni (University of Illinois at Urbana-Champaign) Laxmikant V. Kale (University of Illinois at Urbana-Champaign) Rasmus Tamstorf (Walt Disney Animation Studios)

DTN-enabled Infostation and Cinema-in-a-Backpack

May 18, 2015 Interdisciplinary Workshop on Do-It-Yourself Networking 2015 Adriano Galati (Disney Research) Stefan Mangold (Disney Research) Maria Olivares (Disney Research) Theodoros Bourchas (Disney Research) 

Eye-Tracktive: Measuring Attention to Body Parts When Judging Human Motions

May 8, 2015 Eurographics 2015 Cathy Ennis (Trinity College Dublin) Ludovic Hoyet (Trinity College Dublin) Carol O’Sullivan (Disney Research/Trinity College Dublin)

Recent Advances in Facial Appearance Capture

May 8, 2015 Eurographics 2015 Oliver Klehm (MPI Informatik) Fabrice Rousselle (Disney Research) Marios Papas (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Christophe Hery (Pixar) Bernd Bickel (Disney Research) Wojciech Jarosz (Disney Research) Thabo Beeler (Disney Research)

Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

May 8, 2015 Eurographics 2015 Matthias Zwicker (University of Bern) Wojciech Jarosz (Disney Research) Jaakko Lehtinen (Aalto University) Bochang Moon (Korea Advanced Institute of Science and Technology) Ravi Ramamoorthi (University of California, San Diego) Fabrice Rousselle (Disney Research) Pradeep Sen (University of California, Santa Barbara) Cyril Soler (Inria Grenoble Rhone-Alpes) Sung-Eui Yoon (Korea Advanced Institute of Science and Technology)

Key-frame Based Spatiotemporal Scribble Propagation

May 4, 2015 WICED 2015 Pelin Dogan (Disney Research/ETH Joint M.Sc.) Tunc Aydin (Disney Research) Nikolce Stefanoski (Disney Research) Aljoscha Smolic (Disney Research)

Panoramic Video from Unstructured Camera Arrays

May 2, 2015 Eurographics 2015 Federico Perazzi (Disney Research/ETH Zürich) Alexander Sorkine-Hornung (Disney Research) Henning Zimmer (Disney Research) Peter Kaufmann (Disney Research )Oliver Wang (Disney Research) Scott Watson (Walt Disney Imagineering) Markus Gross (Disney Research/ETH Zürich)

Computer-Assisted Authoring of Interactive Narratives

February 27, 2015 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D) 2015 Mubbasir Kapadia (Disney Research/Rutgers University) Jessica Falk (Disney Research/ETH Joint B.Sc.) Fabio Zünd (Disney Research/ETH Joint PhD) Marcel Marti (Disney Research/ETH Joint B.Sc.) Robert W. Sumner (Disney Research/ETH Zürich) Markus Gross (Disney Research/ETH Zürich)

The Boundary Forest algorithm for online supervised and unsupervised learning

January 25, 2015 Association for the Advancement of Artificial Intelligence (AAAI) 2015 Charles Mathy (Disney Research) Nate Derbinsky (Disney Research) Jose Bento Ayres Pereira (Disney Research) Jonathan Rosenthal (Disney Research) Jonathan Yedidia (Disney Research)

Proximal operators for multi-agent path planning

January 25, 2015 Association for the Advancement of Artificial Intelligence (AAAI) 2015 Jose Bento (Disney Research) Nate Derbinsky (Disney Research) Charles Mathy (Disney Research) Jonathan Yedidia (Disney Research)

Extending the Performance of Human Classifiers using a Viewpoint Specific Approach

January 6, 2015 IEEE Workshop on the Applications of Computer Vision (WACV) 2015 Endri Dibra (Disney Research/ETH Joint M.Sc.) Jerome Maye (ETH Zurich) Olga Diamanti (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Rresearch)

From Sound to Sight: Using Audio Processing to enable Visible Light Communication

December 8, 2014 Workshop on Optical Wireless Communications 2014 Stefan Schmid (Disney Research/ETH Joint PhD) Daniel Schwyn (Disney Research/ETH Joint B.Sc.) Kaan Aksit (Disney Research) Giorgio Corbellini (Disney Research) Thomas Gross (ETH Zurich) Stefan Mangold (Disney Research)

Memory Efficient Stereoscopy from Light Fields

December 8, 2014 AD International Conference on 3D Vision (3DV) 2014 Changil Kim (Disney Research/ETH Joint PhD) Ulrich Müller (Disney Research/ETH Joint M.Sc.) Henning Zimmer (Disney Research) Yael Pritch (Disney Research) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zürich))

A Vectorial Framework for Ray Traced Diffusion Curves

December 1, 2014 Computer Graphics Forum Journal Romain Prevost (Disney Research/ETH Joint PhD) Wojciech Jarosz (Disney Research) Olga Sorkine-Hornung (ETH Zurich)

A Framework for Transient Rendering

November 19, 2014 ACM SIGGRAPH Asia 2014 Adrián Jarabo (Universidad de Zaragoza) Julio Marco (Universidad de Zaragoza) Adolfo Muñoz (Universidad de Zaragoza) Raul Buisan (Universidad de Zaragoza) Wojciech Jarosz (Disney Research) Diego Gutierrez (Universidad de Zaragoza)

High-Quality Capture of Eyes

November 19, 2014 ACM SIGGRAPH Asia 2014 Pascal Berard (Disney Research/ETH Zürich) Derek Bradley (Disney Research) Maurizio Nitti (Disney Research) Thabo Beeler (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Generating and Ranking Diverse Multi-Character Interactions

November 19, 2014 ACM SIGGRAPH Asia 2014 Jungdam Won (Disney Research/Seoul National University) Kyungho Lee (Disney Research/Seoul National University) Carol O’Sullivan (Disney Research) Jessica Hodgins (Disney Research) Jehee Lee (Disney Research/Seoul National University)

Temporally Coherent Local Tone Mapping of HDR Video

November 19, 2014 ACM SIGGRAPH Asia 2014 Tunc Aydin (Disney Research) Nikolce Stefanoski (Disney Research) Simone Croci (Disney Research/ETH Zürich) Markus Gross (Disney Research/ETH Zürich) Aljoscha Smolic (Disney Research)

Residual Ratio Tracking for Estimating Attenuation in Participating Media

November 19, 2014 ACM SIGGRAPH Asia 2014 Jan Novak (Disney Research/Walt Disney Animation Studios) Andrew Selle (Walt Disney Animation Studios) Wojciech Jarosz (Disney Research)

Frequency-Based Creation and Editing of Virtual Terrain

November 13, 2014 Conference for Visual Media Production (CVMP) 2014 Gwyneth Bradbury (University College London) Il Choi (University College London) Cristina Amati (University College London) Kenny Mitchell (Disney Research) Tim Weyrich (University College London)

Influence of Animated Reality Mixing Techniques on User Experience

November 6, 2014 Motion in Games 2014 Fabio Zünd (Disney Research/ETH Joint PhD) Marcel Lancelle (ETH Zurich) Mattia Ryffel (Disney Research) Robert W. Sumner (Disney Research) Kenny Mitchell (Disney Research) Markus Gross (Disney Research/ETH Zürich)

High-Speed Object Tracking Using an Asynchronous Temporal Contrast Sensor

October 8, 2014 International Workshop on Vision Modeling and Visualization (VMV) 2014 Daniel Saner (Disney Research/ETH Joint M.Sc.) Oliver Wang (Disney Research) Simon Heinzle (Disney Research)Yael Pritch (Disney Research) Aljoscha Smolic (Disney Research) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Continuous Synchronization for LED-to-LED Visible Light Communication Networks

September 17, 2014 International Workshop on Optical Wireless (IWOW) 2014 Stefan Schmid (Disney Research/ETH Joint PhD) Giorgio Corbellini (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

Using Consumer LED Light Bulbs for Low-Cost Visible Light Communication Systems

September 7, 2014 Workshop on Visible Light Communication Systems (VLCS) 2014 Stefan Schmid (Disney Research/ETH Joint PhD) Josef Ziegler (Disney Research/ETH Joint Semester Thesis) Giorgio Corbellini (Disney Research) Thomas Gross (ETH Zurich) Stefan Mangold (Disney Research)

System Architecture for Delay Tolerant Media Distribution for Rural South Africa

September 7, 2014 ACM WiNTECH Workshop 2014 Adriano Galati (Disney Research) Theodoros Bourchas (Disney Research) Sandra Siby (Disney Research/ETH Joint Semester Thesis) Stefan Mangold (Disney Research)

Contiki80211: An IEEE 802.11 Radio Link Layer for the Contiki OS

August 20, 2014 IEEE International Conference on Embedded Software and Systems (ICESS) 2014 Ioannis Glaropoulos (Disney Research) Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Hierarchical Motion Brushes for Animation Instancing

August 8, 2014 Non-photorealistic Animation and Rendering (NPAR) 2014 Antoine Milliez (Disney Research/ETH Joint PhD) Chino Noris (Disney Research) Ilya Baran (Disney Research) Stelian Coros (Disney Research) Marie-Paule Cani (Inria Grenoble Rhone-Alpes) Maurizio Nitti (Disney Research) Alessia Marra (Disney Research) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research/ETH Zurich)

Alternating attention in continuous stereoscopic depth

August 8, 2014 ACM Symposium on Applied Perception in Graphics and Visualization (ACM APGV) 2014 Steven Poulakos (Disney Research/ETH Joint PhD) Gerhard Röthlin (Disney Research) Adrian Schwaninger (University of Applied Sciences Northwestern Switzerland) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Perceptual Evaluation of Cardboarding in 3D Content Visualization

August 8, 2014 ACM Symposium on Applied Perception in Graphics and Visualization (ACM APGV) 2014 Alexandre Chapiro (Disney Research/ETH Joint PhD) Olga Diamanti (ETH Zurich) Steven Poulakos (Disney Research) Carol O’Sullivan (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Theory and Analysis of Transient Rendering

July 27, 2014 ACM SIGGRAPH 2014 Adrian Jarabo (Universidad de Zaragoza) Julio Marco (Universidad de Zaragoza) Adolfo Munoz (Universidad de Zaragoza) Raul Buisan (Universidad de Zaragoza) Wojciech Jarosz (Disney Research) Diego Gutierrez (Universidad de Zaragoza)

Boxelization: Folding 3D Objects Into Boxes

July 27, 2014 ACM SIGGRAPH 2014 Yahan Zhou (Disney Research) Shinjiro Sueda (Disney Research) Wojciech Matusik (MIT CSAIL) Arik Shamir (Disney Research/The Interdisciplinary Center Herzliya)

VideoSnapping: Interactive Synchronization of Multiple Videos

July 27, 2014 ACM SIGGRAPH 2014 Oliver Wang (Disney Research) Christopher Schroers (Disney Research) Henning Zimmer (Disney Research) Markus Gross (Disney Research/ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Rigid Stabilization of Facial Expressions

July 27, 2014 ACM SIGGRAPH 2014 Thabo Beeler (Disney Research) Derek Bradley (Disney Research)

Subspace Clothing Simulation Using Adaptive Bases

July 27, 2014 ACM SIGGRAPH 2014 Fabian Hahn (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Stelian Coros (Disney Research) Robert W. Sumner (Disney Research) Forrester Cole (Pixar Animation Studios) Mark Meyer (Pixar Animation Studios) Tony DeRose (Pixar Animation Studios) Markus Gross (Disney Research/ETH Zurich)

Unifying Points, Beams, and Paths in Volumetric Light Transport Simulation

July 27, 2014 ACM SIGGRAPH 2014 Jaroslav Křivánek (Charles University, Prague) Iliyan Georgiev (Light Transportation Ltd.) Toshiya Hachisuka (Aarhus University) Petr Vévoda (Charles University, Prague) Martin Šik (Charles University, Prague) Derek Nowrouzezahrai (Université de Montréal) Wojciech Jarosz (Disney Research)

Capturing and Stylizing Hair for 3D Fabrication

July 27, 2014 ACM SIGGRAPH 2014 Jose Ignacio Echevarria (Universidad de Zaragoza) Derek Bradley (Disney Research) Diego Gutierrez (Universidad de Zaragoza) Thabo Beeler (Disney Research)

Spin-It: Optimizing Moment of Inertia for Spinnable Objects

July 27, 2014 ACM SIGGRAPH 2014 Moritz Bächer (Disney Research) Emily Whiting (ETH Zurich) Olga Sorkine-Hornung (ETH Zurich) Bernd Bickel (Disney Research)

Designing Inflatable Structures

July 27, 2014 ACM SIGGRAPH 2014 Melina Skouras (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Peter Kaufmann(Disney Research) Akash Garg (Columbia University) Bernd Bickel (Disney Research) Eitan Grinspun (Columbia University) Markus Gross (Disney Research/ETH Zurich)

Adaptive Nonlinearity for Collisions in Complex Rod Assemblies

July 27, 2014 ACM SIGGRAPH 2014 Danny M. Kaufman (Adobe/Columbia University) Rasmus Tamstorf (Walt Disney Animation Studios) Breannan Smith (Columbia University) Jean-Marie Aubry (Weta Digital) Eitan Grinspun (Columbia University)

Automatic Editing of Footage from Multiple Social Cameras

July 27, 2014 ACM SIGGRAPH 2014 Ido Arev (Disney Research/The Interdisciplinary Center Herzliya) Hyun Soo Park (Carnegie Mellon University) Yaser Sheikh (Disney Research/Carnegie Mellon University) Jessica Hodgins (Disney Research/Carnegie Mellon University) Arik Shamir (Disney Research/The Interdisciplinary Center Herzliya)

(In)visible Light Communication: Combining Illumination and Communication

July 27, 2014 ACM SIGGRAPH Emerging Technologies 2014 Stefan Schmid (Disney Research/ETH Joint PhD) Josef Ziegler (Disney Research/ETH Joint Semester Thesis) Thomas Gross (ETH Zurich) Manuela Hitz (Disney Research) Afroditi Psarra (Disney Research) Giorgio Corbellini (Disney Research) Stefan Mangold (Disney Research)

ChaCra: An Interactive Design System for Rapid Character Crafting

July 21, 2014 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2014 Vittorio Megaro (ETH Zurich) Bernhard Thomaszewski (Disney Research) Damien Gauge (ETH Zurich) Eitan Grinspun (Columbia University) Stelian Coros (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Interactive Design of Modular Tensegrity Characters

July 21, 2014 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2014 Damien Gauge (ETH Zurich) Stelian Coros (Disney Research) Sandro Mani (ETH Zurich) Bernhard Thomaszewski (Disney Research)

Concurrent Optimization of Mechanical Design and Locomotion Control of a Legged Robot

July 20, 2014 CLAWAR (Climbing and Walking Robots) 2014 Krishnamanaswi Digumarti (Disney Research) Christian Gehring (Disney Research) Stelian Coros (Disney Research) Je Min Hwangbo (ETH Zurich) Roland Siegwart (ETH Zurich)

Enhanced Power Saving Mode for Low-Latency Communication in Multi-Hop 802.11 Networks

July 1, 2014 Elsevier Ad Hoc Networks (2014) Vladimir Vukadinovic (Disney Research) Ioannis Glaropoulos (Disney Research) Stefan Mangold (Disney Research)

Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination

June 25, 2014 Eurographics Symposium on Rendering (EGSR) 2014 Kartic Subr (Disney Research) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research) Jan Kautz (University City College London) Kenny Mitchell (Disney Research)

Jointly Summarizing Large-Scale Web Images and Videos for the Storyline Reconstruction

June 23, 2014 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2014 Gunhee Kim (Disney Research) Leonid Sigal (Disney Research) Eric P. Xing (Carnegie Mellon University)

An Approximate Computing Technique for Reducing the Complexity of a Direct-Solver for Sparse Linear Systems in Real-Time Video Processing

June 1, 2014 Design Automation Conference (DAC) 2014 Michael Schaffner (Disney Research/ETH Joint PhD) Frank K. Gürkaynak (ETH Zurich) Aljoscha Smolic (Disney Research) Hubert Kaesliny (ETH Zurich) Luca Beniniy (ETH Zurich)

Towards Automatic Discovery of Agile Gaits for Quadrupedal Robots

May 31, 2014 IEEE International Conference on Robotics and Automation (ICRA) 2014 Christian Gehring (Disney Research/ETH Joint PhD) Stelian Coros (Disney Research) Marco Hutter (ETH Zurich) Michael Bloesch (ETH Zurich) Peter Fankhauser (ETH Zurich) Markus Hoepflinger (ETH Zurich) Roland Siegwart (ETH Zurich)

Perceptual Evaluation of Motion Editing for Realistic Throwing Animations

May 31, 2014 ACM Transactions on Applied Perception (ACM TAP) Michele Vicovara (University of Padua) Ludovic Hoyet (Trinity College Dublin) Luigi Burigana (University of Padua) Carol O’Sullivan (Disney Research/Trinity College Dublin)

Scalable Methods to Integrate Task Knowledge with the Three-Weight Algorithm for Hybrid Cognitive Processing via Optimization

April 30, 2014 Biologically Inspired Cognitive Architectures Journal 2014 Nate Derbinsky (Disney Research) Jose Bento Ayres Pereira (Disney Research) Jonathan Yedidia (Disney Research)

Rapid Hologram Generation Utilising Layer-Based Approach and Graphic Rendering for Realistic 3D Image Reconstruction by Angular Tiling

April 8, 2014 Journal of Electronic Imaging 2014 Jhen-Si Chen (University of Cambridge) Daping Chu (University of Cambridge) Quinn Smithwick (Disney Research)

Optimizing Stereo-to-Multiview Conversion for Autostereoscopic Displays

April 7, 2014 Eurographics 2014 Alexandre Chapiro (Disney Research/ETH Joint PhD) Simon Heinzle (Disney Research) Tunç Aydın (Disney Research) Steven Poulakos (Disney Research) Matthias Zwicker (University of Bern) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

State of the Art in Artistic Editing of Appearance, Lighting, and Material

April 7, 2014 Eurographics 2014  Thorsten-Walther Schmidt (Karlsruhe Institute of Technology) Fabio Pellacini (Sapienza University of Rome) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research) Carsten Dachsbacher (Karlsruhe Institute of Technology)

Wireless LAN in Paired Radio Spectrum with Downlink-Uplink Separation

April 6, 2014 IEEE Wireless Communications and Networking Conference (WCNC) 2014 Stefan Schmid (Disney Research/ETH Joint PhD) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

Acoustic Data Transmission to Collaborating Smartphones – An Experimental Study

April 4, 2014 IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services (WONS) 2014 Roman Frigg (Disney Research/ETH Joint M.Sc.) Giorgio Corbellini (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

Facial Performance Enhancement Using Dynamic Shape Space Analysis

March 1, 2014 ACM Transactions on Graphics (TOG) 2014 Amit Bermano (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Thabo Beeler (Disney Research) Fabio Zund (Disney Research/ETH Joint PhD) Derek Nowrouzezahrai (Disney Research) Ilya Baran (Disney Research) Olga Sorkine-Hornung (ETH Zurich) Hanspeter Pfister (Disney Research/Harvard University) Robert W. Sumner (Disney Research) Bernd Bickel (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Survey of Texture Mapping Techniques for Representing and Rendering Volumetric Mesostructure

February 27, 2014 Journal of Computer Graphics Techniques (JCGT) 2014 Charalampos Koniaris (University of Bath) Darren Cosker (University of Bath) Xiaosong Yang (University of Bournemouth) Kenny Mitchell (Disney Research)

LCD Masks for Spatial Augmented Reality

February 3, 2014 SPIE Stereoscopic Displays and Applications (SD&A) 2014 Quinn Smithwick (Disney Research) Daniel Reetz (Disney Research) Lanny Smoot (Disney Research)

Spatially-Varying Image Warping: Evaluations and VLSI Implementations

December 31, 2013 Springer VLSI-SoC Book Chapter 2013 Pierre Greisen (Disney Research/ETH Joint PhD) Michael Schaffner (Disney Research/ETH Joint PhD) Danny Luu (ETH Zurich) Val Mikos (ETH Zurich) Simon Heinzle (Disney Research) Frank Gürkaynak (ETH Zurich) Aljoscha Smolic (Disney Research)

RFID Shakables: Pairing Radio-Frequency Identification Tags with the Help of Gesture Recognition

December 9, 2013 ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT) 2013 Lito Kriara (Disney Research) Matthew Alsup (Disney Research) Giorgio Corbellini (Disney Research) Matthew Trotter(Disney Research) Joshua Griffin (Disney Research) Stefan Mangold (Disney Research)

A Message-Passing Algorithm for Multi-Agent Trajectory Planning

December 5, 2013 Neural Information Processing Systems (NIPS) 2013 Jose Bento Ayres Pereira (Disney Research) Nate Derbinsky (Disney Research) Javier Alonso-Mora (Disney Research/ETH Joint PhD) Jonathan Yedidia (Disney Research)

Local Signal Equalization for Correspondence Matching

December 2, 2013 International Conference on Computer Vision (ICCV) 2013 Derek Bradley (Disney Research) Thabo Beeler (Disney Research)

The Shading Probe: Fast Appearance Acquisition for Mobile AR

November 19, 2013 ACM SIGGRAPH Asia 2013 Dan Andrei Calian (Disney Research) Kenny Mitchell (Disney Research) Derek Nowrouzezahrai (Disney Research) Jan Kautz (University College London)

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing

November 15, 2013 AAAI Fall Symposium on Integrated Cognition 2013 Nate Derbinsky (Disney Research) Jose Bento (Disney Research) Jonathan Yedidia (Disney Research)

Analyzing Temporal Metrics of Public Transportation for Designing Scalable Delay-Tolerant Networks

November 8, 2013 ACM Workshop on Performance (ACM PM2HW2N) 2013 Adriano Galati (Disney Research) Vladimir Vukadinovic (Disney Research) Maria Olivares (Disney Research) Stefan Mangold (Disney Research)

Simulated motion blur does not improve player experience in racing game

November 6, 2013 Motion in Games 2013 Lavanya Sharan (MIT) Neo Zhe Han (Disney Research/ABC Television Group) Kenny Mitchell (Disney Research) Jessica Hodgins (Disney Research/CMU)

Modeling and Estimation of Internal Friction in Cloth

November 1, 2013 ACM SIGGRAPH Asia 2013 Eder Miguel (URJC Madrid) Rasmus Tamstorf (Walt Disney Animation Studios) Derek Bradley (Disney Research) Sara Schvartzman (URJC Madrid)Bernhard Thomaszewski (Disney Research)Bernd Bickel (Disney Research) Wojciech Matusik (Disney Research)Steve Marschner (Cornell University) Miguel Otaduy (URJC Madrid)

Joint Importance Sampling of Low-Order Volumetric Scattering

November 1, 2013 ACM SIGGRAPH Asia 2013 Iliyan Georgiev (Disney Research)Jaroslav Křivánek (Charles University, Prague) Toshiya Hachisuka (Aarhus University) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research)

Evaluating the Distinctiveness and Attractiveness of Human Motions on Realistic Virtual Bodies

November 1, 2013 ACM SIGGRAPH Asia 2013 Ludovic Hoyet (Trinity College Dublin) Kenneth Ryall (Disney Research/Trinity College Dublin) Katja Zibrek (Trinity College Dublin) Hwangpil Park (Seoul National University) Jehee Lee (Seoul National University) Jessica Hodgins (Disney Research/Carnegie Mellon University) Carol O’Sullivan (Disney Research/Trinity College Dublin/Seoul National University)

Augmenting Physical Avatars Using Projector Based Illumination

November 1, 2013 ACM SIGGRAPH Asia 2013 Amit Bermano (Disney Research/ETH Joint PhD) Phillipp Bruschweiler (Disney Research/ETH Joint M.Sc.) Anselm Grundhöfer (Disney Research) Daisuke Iwai (Osaka University) Bernd Bickel (Disney Research) Markus Gross (Disney Research/ETH Zurich)

A Real-Time 720p Feature Extraction Core Based on Semantic Kernels Binarized

October 7, 2013 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) 2013 Michael Schaffner (Disney Research/ETH Joint PhD) Pascal Hager (ETH Zurich) Lukas Cavigelli (ETH Zurich) Pierre Greisen (Disney Research) Frank Gürkaynak (ETH Zurich) Hubert Kaeslin (ETH Zurich)

Depth Estimation and Depth Enhancement by Diffusion of Depth Features

September 18, 2013 International Conference on Image Processing (ICIP) 2013 Nikolce Stefanoski (Disney Research) Can Bal (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Oliver Wang (Disney Research) Aljoscha Smolic (Disney Research)

Content-Aware Compression using Saliency-Driven Image Retargeting for Wireless Video

September 18, 2013 International Conference on Image Processing (ICIP) 2013 Fabio Zund (Disney Research/ETH Joint PhD) Yael Pritch (Disney Research) Alexander Sorkine-Hornung (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

MADmax: A 1080p Stereo-to-Multiview Rendering ASIC in 65nm CMOS based on Image Domain Warping

September 16, 2013 European Solid State Circuits Conference (ESSCIRC) 2013 Michael Schaffner (Disney Research/ETH Joint PhD) Pierre Greisen (Disney Research) Simon Heinzle (Disney Research) Frank Gürkaynak (ETH Zurich) Hubert Kaeslin (ETH Zurich) Aljoscha Smolic (Disney Research)

Transfusive Weights for Content-Aware Image Manipulation

September 11, 2013 International Workshop on Vision Modeling and Visualization (VMV) 2013 Kaan Yücer (Disney Research/ETH Joint PhD) Alec Jacobson (ETH Zurich) Alexander Hornung (Disney Research) Olga Sorkine (ETH Zurich)

Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware

August 23, 2013 International Conference on Computer Analysis of Images and Patterns (CAIP) 2013 Gwyneth Bradbury (University College London) Kenny Mitchell (Disney Research) Tim Weyrich (University College London)

Enhanced IEEE 802.11 Power Saving for Multi-Hop Toy-to-Toy Communication

August 22, 2013 IEEE iThings 2013 Ioannis Glaropoulos (Disney Research) Stefan Mangold (Disney Research) Vladimir Vukadinovic (Disney Research)

Evaluation and FPGA Implementation of Sparse Linear Solvers for Video Processing Applications

August 1, 2013 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2013 Pierre Greisen (Disney Research) Marian Runo (ETH Zurich)Patrice Guillet (ETH Zurich) Simon Heinzle (Disney Research) Aljoscha Smolic (Disney Research) Hubert Kaeslin (ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

LED-to-LED Visible Light Communication Networks

August 1, 2013 ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc) 2013 Stefan Schmid (Disney Research/ETH Joint PhD) Giorgio Corbellini (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

Joint Scalable Coding and Routing for 60 GHz Real-Time Live HD Video Streaming Applications

July 30, 2013 IEEE Transactions on Broadcasting 2013 Joongheon Kim (University of Southern California) Yafei Tian (Beihang University) Stefan Mangold (Disney Research) Andreas F. Molisch (University of Southern California)

D-Tech Me: Fabricating 3D Figurines With Personalised

July 21, 2013 ACM SIGGRAPH 2013 Talks J. Rafael Tena (Disney Research) Moshe Mahler(Disney Research) Thabo Beeler (Disney Research) Hengehin Yeh (Disney Research) Max Grosse (Disney Research) Iain Matthews (Disney Research)

Scene Reconstruction from High Spatio-Angular Resolution Light Fields

July 21, 2013 ACM SIGGRAPH 2013 Changil Kim (Disney Research/ETH Joint PhD) Henning Zimmer (Disney Research) Yael Pritch (Disney Research) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Content-Adaptive Lenticular Prints

July 21, 2013 ACM SIGGRAPH 2013 James Tompkin (University City College London) Simon Heinzle (Disney Research) Jan Kautz (University City College London) Wojciech Matusik (Disney Research)

Computational Design of Actuated Deformable Characters

July 21, 2013 ACM SIGGRAPH 2013 Melina Skouras (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Stelian Coros (Disney Research) Bernd Bickel (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Computational Design of Mechanical Characters

July 21, 2013 ACM SIGGRAPH 2013 Stelian Coros (Disney Research) Bernhard Thomaszewski (Disney Research) Chino Noris (Disney Research) Shinjiro Sueda (Disney Research) Moira Forberg (Disney Research) Robert W. Sumner (Disney Research) Wojciech Matusik (MIT CSAIL) Bernd Bickel (Disney Research)

Image-Based Reconstruction and Synthesis of Dense Foliage

July 21, 2013 ACM SIGGRAPH 2013 Derek Bradley (Disney Research) Derek Nowrouzezahrai (Disney Research/Université de Montréal) Paul Beardsley (Disney Research)

Style and Abstraction in Portrait Sketching

July 21, 2013 ACM SIGGRAPH 2013 Itamar Berger (Disney Research/The Interdisciplinary Center Herzliya) Ariel Shamir (Disney Research/The Interdisciplinary Center Herzliya) Moshe Mahler (Disney Research) Elizabeth Carter (Disney Research/Carnegie Mellon University) Jessica Hodgins (Disney Research/Carnegie Mellon University)

Sketch-Based Generation and Editing of Quad Meshes

July 21, 2013 ACM SIGGRAPH 2013 Kenshi Takayama (ETH Zurich) Daniele Panozzo (ETH Zurich) Alexander Sorkine-Hornung (Disney Research) Olga Sorkine-Hornung (ETH Zurich)

Efficient Simulation of Secondary Motion in Rig-Space

July 19, 2013 ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2013 Fabian Hahn (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Stelian Coros (Disney Research) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Discrete Bending Forces and Their Jacobians

July 18, 2013 Graphical Models 2013 Rasmus Tamstorf (Walt Disney Animation Studios) Eitan Grinspun (Columbia University)

Computational Sports Broadcasting: Automated Director Assistance for Live Sports

July 15, 2013 International Conference on Multimedia and Expo (ICME) 2013 Christine Chen (ETH Zurich) Oliver Wang (Disney Research) Simon Heinzle (Disney Research) Peter Carr (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Practical Non-linear Photometric Projector Compensation

June 28, 2013 IEEE International Workshop on Computational Cameras and Displays (CCD/PROCAMS) 2013 Anselm Grundhöfer (Disney Research)

Megastereo: Constructing High-Resolution Stereo Panoramas

June 25, 2013 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2013 Christian Richardt (Disney Research/Inria Sophia Antipolis)Yael Pritch (Disney Research) Henning Zimmer (Disney Research/ETH Zurich) Alexander Sorkine-Hornung (Disney Research)

Poselet Key-framing: A Model for Human Activity Recognition

June 23, 2013 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2013 Michalis Raptis (Disney Research) Leonid Sigal (Disney Research)

Photon Beam Diffusion: A Hybrid Monte Carlo Method for Subsurface Scattering

June 19, 2013 Eurographics Symposium on Rendering (EGSR) 2013 Ralf Habel (Disney Research) Per Christensen (Pixar Animation Studios) Wojciech Jarosz (Disney Research)

Comparing Foot Placement Strategies for Planar Bipedal Walking

June 10, 2013 Dynamic Walking 2013 Rick Cory (Disney Research)

Quality-Aware Coding and Relaying for 60 GHz Real-Time Wireless Video Broadcasting

June 9, 2013 IEEE International Conference on Communications (ICC) 2013 Joongheon Kim (University of Southern California, Los Angeles) Yafei Tian (Beihang University) Stefan Mangold (Disney Research) Andy Molisch (University of Southern California, Los Angeles)

Efficient Image Resampling for Multiview Displays

May 27, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013 Michael Schaffner (Disney Research/ETH Joint PhD) Pierre Greisen (Disney Research/ETH Joint PhD) Simon Heinzle (Disney Research) Aljoscha Smolic (Disney Research)

Automatic View Synthesis by Image-Domain-Warping

May 23, 2013 IEEE Transactions on Image Processing 2013 Nikolce Stefanoski (Disney Research) Oliver Wang (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Pierre Greisen (ETH Zurich) Simon Heinzle (Disney Research) Aljoscha Smolic (Disney Research)

An Improved Three-Weight Message-Passing Algorithm

May 8, 2013 Arxiv.org 2013 Nate Derbinsky (Disney Research) Jose Bento (Disney Research) Veit Elser (Cornell University) Jonathan Yedidia (Disney Research)

DuctTake: Seam-Based Video Compositing

May 6, 2013 Eurographics 2013 Jan Rüegg (Disney Research/ETH Joint M.Sc.) Oliver Wang (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Scalable Music: Automatic Music Retargeting and Synthesis

May 6, 2013 Eurographics 2013 Simon Wenner (ETH Zurich) Jean-Charles Bazin (ETH Zurich) Alexander Sorkine-Hornung (Disney Research) Changil Kim (Disney Research/ETH Joint PhD) Markus Gross (Disney Research/ETH Zurich)

Finite Element Image Warping

May 6, 2013 Eurographics 2013 Peter Kaufmann (Disney Research) Oliver Wang (Disney Research) Alexander Sorkine-Hornung (Disney Research) Olga Sorkine-Hornung (ETH Zurich) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Collision Avoidance for Multiple Agents with Joint Utility Maximization

May 6, 2013 IEEE International Conference on Robotics and Automation (ICRA) 2013 Javier Alonso-Mora (Disney Research/ETH Joint PhD) Martin Rufli (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

Control of Dynamic Gaits for a Quadrupedal Robot

May 6, 2013 IEEE International Conference on Robotics and Automation (ICRA) 2013 Christian Gehring (Disney Research/ETH Joint PhD) Stelian Coros (Disney Research) Marco Hutter (ETH Zurich) Michael Bloesch (ETH Zurich) Markus Hoepflinger (ETH Zurich) Roland Siegwart (ETH Zurich)

Switching Dual Layer Display with Dynamic LCD Mask

April 1, 2013 SPIE Stereoscopic Displays and Applications (SD&A) 2013 Quinn Smithwick (Disney Research) Mark Reichow (Walt Disney Imagineering)

Distinguishing Texture Edges from Object Boundaries in Video

January 12, 2013 IEEE Transactions on Image Processing 2013 Oliver Wang (Disney Research) Martina Dumcke (Disney Research/ETH Joint M.Sc.) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

An LED-to-LED Visible Light Communication System with Software-Based Synchronization

December 3, 2012 IEEE Globecom 2012 Stefan Schmid (Disney Research/ETH Joint PhD) Giorgio Corbellini (Disney Research) Stefan Mangold (Disney Research) Thomas Gross (ETH Zurich)

CAESAR: Carrier Sense-based Ranging in Off-the-Shelf 802.11 Wireless LAN

December 1, 2012 ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT) 2012 Domenico Giustiniano (Disney Research) Stefan Mangold (Disney Research)

Efficient Rasterization for Edge-Based 3D Object Tracking on Mobile Devices

November 28, 2012 ACM SIGGRAPH Asia 2012 Etan Kissling (ETH Zurich) Kenny Mitchell (Disney Research) Thomas Oskam (Disney Research/ETH Joint PhD) Markus Gross (Disney Research/ETH Zurich)

Practical Hessian-Based Error Control for Irradiance Caching

November 1, 2012 ACM SIGGRAPH Asia 2012 Jorge Schwarzhaupt (University of California, San Diego) Henrik Wann Jensen (University of California, San Diego) Wojciech Jarosz (Disney Research)

The Magic Lens: Refractive Steganography

November 1, 2012 ACM SIGGRAPH Asia 2012 Marios Papas (Disney Research/ETH Joint PhD) Thomas Houit (ETH Zurich) Derek Nowrouzezahrai (Disney Research/Université de Montréal) Markus Gross (Disney Research/ETH Zurich) Wojciech Jarosz (Disney Research)

Speculative Parallel Asynchronous Contact Mechanics

November 1, 2012 ACM SIGGRAPH Asia 2012 Samantha Ainsley (Columbia University) Etienne Vouga (Columbia University) Eitan Grinspun (Columbia University) Rasmus Tamstorf (Walt Disney Animation Studios)

Transfusive Image Manipulation

November 1, 2012 ACM SIGGRAPH Asia 2012 Kaan Yucer (Disney Research/ETH Zurich Joint PhD) Alec Jacobson (ETH Zurich) Alexander Sorkine-Hornung (Disney Research) Olga Sorkine-Hornung (ETH Zurich)

Depth Image Based Compositing for Stereo 3D

October 15, 2012 3D Television Conference (3DTV-CON) 2012 Lars Schnyder (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Oliver Wang (Disney Research) Aljoscha Smolic (Disney Research)

Fast and Stable Color Balancing for Images and Augmented Reality

October 13, 2012 3D International Conference on 3D Vision (3DV) 2012 Thomas Oskam (Disney Research/ETH Joint PhD) Alexander Sorkine-Hornung (Disney Research) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Object and Animation Display with Multiple Aerial Vehicles

October 7, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2012 Javier Alonso-Mora (Disney Research/ETH Joint PhD) Marcel Schoch (Disney Research/ETH Joint M.Sc.) Andreas Breitenmoser (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

Improved Reconstruction of Deforming Surfaces by Cancelling Ambient Occlusion

October 7, 2012 European Conference on Computer Vision (ECCV) 2012 Thabo Beeler (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Henning Zimmer (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Image Quality vs Rate Optimized Coding of Warps for View Synthesis in 3D Video Applications

September 30, 2012 International Conference on Image Processing (ICIP) 2012 Nikolce Stefanoski (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Aljoscha Smolic (Disney Research)

Multi-Layered Automultiscopic Displays

September 12, 2012 Pacific Graphics 2012 Nicola Ranieri (ETH Zurich) Simon Heinzle (Disney Research) Quinn Smithwick (Disney Research) Daniel Reetz (Disney Research) Lanny Smoot (Disney Research) Wojciech Matusik (MIT CSAIL) Markus Gross (Disney Research/ETH Zurich)

Coupled 3D Reconstruction of Sparse Facial Hair and Skin

August 5, 2012 ACM SIGGRAPH 2012 Thabo Beeler (Disney Research/ETH Joint PhD) Bernd Bickel (Disney Research) Chino Noris (Disney Research/ETH Joint PhD) Paul Beardsley (Disney Research) Steve Marschner (Disney Research/Cornell University) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Theory, Analysis and Applications of 2D Global Illumination

August 6, 2012 ACM Transactions on Graphics (TOG) 2012 Wojciech Jarosz (Disney Research/University of California, San Diego) Volker Schönefeld (RWTH Aachen University) Leif Kobbelt (RWTH Aachen University) Henrik Wann Jensen (University of California, San Diego)

Physical Face Cloning

August 5, 2012 SIGGRAPH 2012 Bernd Bickel (Disney Research) Peter Kaufmann (Disney Research) Melina Skouras (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research/ETH Zurich) Derek Bradley (Disney Research) Thabo Beeler (Disney Research) Phil Jackson (Walt Disney Imagineering) Steve Marschner (Cornell University) Wojciech Matusik (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Virtual Ray Lights for Rendering Scenes with Participating Media

August 5, 2012 ACM SIGGRAPH 2012 Jan Novák (Disney Research/Karlsruhe Institute of Technology) Derek Nowrouzezahrai (Disney Research/Université de Montréal) Carsten Dachsbacher (Karlsruhe Institute of Technology) Wojciech Jarosz (Disney Research)

Rig-Space Physics

August 5, 2012 ACM SIGGRAPH 2012 Fabian Hahn (Disney Research/ETH Joint PhD) Sebastian Martin (Disney Research) Bernhard Thomaszewski (Disney Research) Robert W. Sumner (Disney Research) Stelian Coros (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Practical Temporal Consistency for Image-Based Graphics Applications

August 5, 2012 ACM SIGGRAPH 2012 Manuel Lang (Disney Research/ETH Joint PhD) Oliver Wang (Disney Research) Tunc Aydin (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Deformable Objects Alive

August 5, 2012 ACM SIGGRAPH 2012 Stelian Coros (Disney Research) Sebastian Martin (Disney Research) Bernhard Thomaszewski (Disney Research) Christian Schumacher (ETH Zurich) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Efficient Simulation of Example-Based Materials

July 29, 2012 ACM SIGGRAPH – Eurographics Symposium on Computer Animation (SCA) 2012 Christian Schumacher (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Stelian Coros (Disney Research) Sebastian Martin (Disney Research) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Multi-Robot Formation Control via a Real-Time Drawing Interface

July 16, 2012 Field and Service Robots (FSR) 2012 Sandro Hauri (Disney Research/ETH Joint M.Sc.) Javier Alonso-Mora (Disney Research/ETH Joint PhD) Andreas Breitenmoser (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

Smart Scribbles for Sketch Segmentation

July 5, 2012 EU Computer Graphics Forum (EU CGF) 2012 Chino Noris (Disney Research/ETH Joint PhD) Daniel Sykora (Czech Technical University in Prague) Ariel Shamir (The Interdisciplinary Center, Herzelia, Israel)Stelian Coros (Disney Research) Brian Whited (Walt Disney Animation Studios) Maryann Simmons (Walt Disney Animation Studios) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research)

Progressive Virtual Beam Lights

July 4, 2012 Eurographics Symposium on Rendering (EGSR) 2012 Jan Novák (Disney Research/Karlsruhe Institute of Technology) Derek Nowrouzezahrai (Disney Research/Université de Montréal) Carsten Dachsbacher (Karlsruhe Institute of Technology) Wojciech Jarosz (Disney Research)

Algorithm and VLSI Architecture for Real-Time 1080p60 Video Retargeting

June 27, 2012 High Performance Graphics 2012 Pierre Greisen (Disney Research/ETH Joint PhD) Manuel Lang (Disney Research/ETH Joint PhD) Simon Heinzle (Disney Research) Aljoscha Smolic (Disney Research)

Structure and Motion from Scene Registration

June 18, 2012 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2012 Tali Basha (Tel Aviv University) Shai Avidan (Tel Aviv University) Alexander Sorkine-Hornung (Disney Research) Wojciech Matusik (MIT CSAIL)

Cache-Efficient Graph Cuts on Structured Grids

June 18, 2012 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2012 Ondrej Jamriska (Czech Technical University, Prague) Daniel Sykora (Czech Technical University, Prague) Alexander Sorkine-Hornung (Disney Research)

Saliency Filters: Contrast Based Filtering for Salient Region Detection

June 18, 2012 IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2012 Federico Perazzi (Disney Research) Philip Krähenbühl (Stanford University) Yael Pritch (Disney Research) Alexander Sorkine-Hornung (Disney Research)

Impact of Human Mobility on Wireless Ad Hoc Networking in Entertainment Parks

June 6, 2012 Elsevier Ad Hoc Networks 2012 Vladimir Vukadinovic (Disney Research) Fabian Dreier (Disney Research/ETH Joint M.Sc.) Stefan Mangold (Disney Research)

Analysis and VLSI Implementation of EWA Rendering for Real-Time HD Video Applications

May 30, 2012 IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Pierre Greisen (Disney Research/ETH Joint PhD) Michael Schaffner (Disney Research/ETH Joint PhD)Simon Heinzle (Disney Research) Marian Runo (ETH Zurich) Aljoscha Smolic (Disney Research) Andreas Burg (EPF Lausanne) Hubert Kaeslin (ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

Performance of Collaborative GPS Localization in Pedestrian Ad Hoc Networks

March 15, 2012 ACM International Workshop on Mobile Opportunistic Networks (ACM MobiOpp) 2012 Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Reciprocal Collision Avoidance for Multiple Car-like Robots

May 14, 2012 IEEE International Conference on Robotics and Automation (ICRA) 2012 Javier Alonso-Mora (Disney Research/ETH Joint PhD) Andreas Breitenmoser (ETH Zurich) Paul Beardsley (Disney Research) Roland Siegwart (ETH Zurich)

Iterative Image Warping

May 13, 2012 Eurographics 2012 Huw Bowles (Disney Interactive Studios) Kenny Mitchell (Disney Research) Robert W. Sumner (Disney Research) Jeremy Moore (Disney Interactive Studios) Markus Gross (Disney Research/ETH Zurich)

NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis

May 13, 2012 Eurographics 2012 Robert Herzog (Max Planck Institute for Informatics, Saarbrücken) Martin Cadik (Max Planck Institute for Informatics, Saarbrücken) Tunc Aydin (Disney Research/Max Planck Institute for Informatics, Saarbrücken) Kwawng In Kim (Max Planck Institute for Informatics, Saarbrücken) Karol Myszkowski (Max Planck Institute for Informatics, Saarbrücken) Hans-Peter Seidel (Max Planck Institute for Informatics, Saarbrücken)

Manufacturing Layered Attenuators for Multiple Prescribed Shadow Images

May 13, 2012 Eurographics 2012 Ilya Baran (Disney Research) Philipp Keller (ETH Zurich) Derek Bradley (Disney Research) Stelian Coros (Disney Research) Wojciech Jarosz (Disney Research) Derek Nowrouzezahrai (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Computational Design of Rubber Balloons

May 13, 2012 Eurographics 2012 Melina Skouras (Disney Research/ETH Joint PhD) Bernhard Thomaszewski (Disney Research) Bernd Bickel (Disney Research) Markus Gross (Disney Research/ETH Zurich)

SHADOWPIX: Multiple Images from Self Shadowing

May 13, 2012 Eurographics 2012 Amit Bermano (Disney Research/ETH Joint PhD) Ilya Baran (Disney Research) Marc Alexa (Disney Research/TU Berlin) Wojciech Matusik (Disney Research/MIT CSAIL)

Data-Driven Estimation of Cloth Simulation Models

May 13, 2012 Eurographics 2012 Eder Miguel (Disney Research/URJC Madrid) Derek Bradley (Disney Research) Bernhard Thomaszewski (Disney Research)Bernd Bickel (Disney Research) Wojciech Matusik (Disney Research/MIT CSAIL) Miguel Otaduy (URJC Madrid) Steve Marschner (Cornell University)

Image and Animation Display with Multiple Mobile Robots

May 9, 2012 International Journal of Robotics Research (IJRR) 2012 Javier Alonso-Mora (Disney Research/ETH Joint PhD) Andreas Breitenmoser (ETH Zurich) Martin Rufli (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

Delta Radiance Transfer

March 9, 2012 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D) 2012 Bradford J. Loos (Disney Interactive Studios/University of Utah) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research) Peter-Pike Sloan (Disney Interactive Studios)

Physically-based Simulation of Rainbows

January 1, 2012 ACM Transactions On Graphics Iman Sadeghi (University of California, San Diego) Adolfo Muñoz (Universidad de Zaragoza) Philip Laven (Horley, UK) Wojciech Jarosz (Disney Research) Francisco Seron (Universidad de Zaragoza) Diego Gutierrez (Universidad de Zaragoza) Henrik Wann Jensen (University of California, San Diego)

OSCAM – Optimized Stereoscopic Camera Control for Interactive 3D

December 12, 2011 ACM SIGGRAPH Asia 2011 Thomas Oskam (Disney Research/ETH Joint PhD) Alexander Sorkine-Hornung (Disney Research) Huw Bowles (Black Rock Studio/Disney Interactive Studios) Kenny Mitchell (Black Rock Studio/Disney Interactive Studios) Markus Gross (Disney Research/ETH Zurich)

Computing and Fabricating Multilayer Models

December 12, 2011 ACM SIGGRAPH Asia 2011 Michael Holroyd (Disney Research/University of Virginia) Ilya Baran (Disney Research) Jason Lawrence (University of Virginia) Wojciech Matusik (Disney Research/MIT CSAIL)

Multi-Perspective Stereoscopy from Light Fields

December 12, 2011 ACM SIGGRAPH Asia 2011 Changil Kim (Disney Research/ETH Joint PhD) Alexander Sorkine-Hornung (Disney Research) Simon Heinzle (Disney Research) Wojciech Matusik (Disney Research/MIT CSAIL) Markus Gross (Disney Research/ETH Zurich)

Modular Radiance Transfer

December 12, 2011 ACM SIGGRAPH Asia 2011 Bradford J. Loos (Disney Interactive Studios/University of Utah) Lakulish Antani (Disney Interactive Studios/UNC Chapel Hill) Kenny Mitchell (Disney Interactive Studios) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research) Peter-Pike Sloan (Disney Interactive Studios)

Progressive Photon Beams

December 12, 2011 ACM SIGGRAPH Asia 2011 Wojciech Jarosz (Disney Research) Derek Nowrouzezahrai (Disney Research) Robert Thomas (Disney Research) Peter-Pike Sloan (Disney Interactive Studios) Matthias Zwicker (University of Bern)

A Simple Framework to Simulate the Mobility and Activity of Theme Park Visitors

December 11, 2011 Winter Simulation Conference (WSC) 2011 Vladimir Vukadinovic (Disney Research) Fabian Dreier (Disney Research/ETH Joint M.Sc.) Stefan Mangold (Disney Research)

An FPGA-Based Processing Pipeline for High Definition Stereo Video

November 4, 2011 EURASIP Journal on Image and Video Processing (EURASIP JIVP) 2011 Pierre Greisen (Disney Research/ETH Joint PhD) Simon Heinzle (Disney Research) Markus Gross (Disney Research/ETH Zurich) Andreas Burg (EPF Lausanne)

Light Factorization for Mixed-Frequency Shadows in Augmented Reality

October 26, 2011 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2011 Derek Nowrouzezahrai (Disney Research) Stefan Geiger (Disney Research/ETH Joint M.Sc.) Kenny Mitchell (Disney Research) Robert W. Sumner (Disney Research) Wojciech Jarosz (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Performance of Dual Wi-Fi Radios in Infrastructure-Supported Multi-Hop Networks

October 17, 2011 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS) 2011 Fabian Dreier (Disney Research/ETH Joint M.Sc.) Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Opportunistic Wireless Communication in Theme Parks: A Study of Visitors Mobility

September 23, 2011 ACM Workshop on Challenged Networks (ACM CHANTS) 2011 Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Joint Optimization of HD Video Coding Rates and Unicast Flow Control for IEEE 802.11ad Relaying

September 11, 2011 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2011 Joongheon Kim (UCSD) Yafei Tian (UCSD) Andy Molisch (UCSD) Stefan Mangold (Disney Research)

2D to 3D Conversion of Sports Content Using Panoramas

September 11, 2011 International Conference on Image Processing (ICIP) 2011 Lars Schnyder (Disney Research) Oliver Wang (Disney Research) Aljoscha Smolic (Disney Research)

Extending SVC by Content-Adaptive Spatial Scalability

September 11, 2011 International Conference on Image Processing (ICIP) 2011 Yongzhe Wang (Disney Research) Nikolce Stefanoski (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Alexander Sorkine-Hornung (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

3D Video and Free Viewpoint Video – from Capture to Display

September 1, 2011 Pattern Recognition 2011 Aljoscha Smolic (Disney Research)

Computational Stereo Camera System with Programmable Control Loop

August 7, 2011 ACM SIGGRAPH 2011 Simon Heinzle (Disney Research) Pierre Greisen (Disney Research/ETH Joint PhD) David Gallup (University of North Carolina) Christine Chen (ETH Zurich) Daniel Saner (ETH Zurich) Aljoscha Smolic (Disney Research) Andreas Burg (ETH Zurich) Wojciech Matusik (Disney Research) Markus Gross (Disney Research/ETH Zurich)

A Programmable System for Artistic Volumetric Lighting

August 7, 2011 ACM SIGGRAPH 2011 Derek Nowrouzezahrai (Disney Research) Jared Johnson (Walt Disney Animation Studios) Andrew Selle (Walt Disney Animation Studios) Dylan Lacewell (Walt Disney Animation Studios) Michael Kaschalk (Walt Disney Animation Studios) Wojciech Jarosz (Disney Research)

High-Quality Passive Facial Performance Capture using Anchor Frames

August 7, 2011 ACM SIGGRAPH 2011 Thabo Beeler (Disney Research) Fabian Hahn (Disney Research/ETH Joint PhD) Derek Bradley (Disney Research) Bernd Bickel (Disney Research) Paul Beardsley (Disney Research) Craig Gotsman (Technion – Israel Institute of Technology) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Efficient Elasticity for Character Skinning with Contact and Collisions

August 7, 2011 ACM SIGGRAPH 2011 Aleka McAdams (Walt Disney Animation Studios/University of California, Los Angeles) Yongning Zhu (PDI/DreamWorks) Andrew Selle (Walt Disney Animation Studios) Mark Empey (Walt Disney Animation Studios) Rasmus Tamstorf (Walt Disney Animation Studios) Joseph Teran (University of California, Los Angeles/Walt Disney Animation Studios) Eftychios Sifakis (University of Wisconsin, Madison/Walt Disney Animation Studios)

StereoBrush: Interactive 2D to 3D Conversion Using Discontinuous Warps

August 5, 2011 Symposium on Sketch-Based Interfaces and Modeling (SBIM) 2011 Oliver Wang (Disney Research) Manuel Lang (Disney Research/ETH Joint PhD) Matthias Frei (Disney Research) Alexander Sorkine-Hornung (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Runtime Implementation of Modular Radiance Transfer

August 1, 2011 ACM SIGGRAPH Sketches/Talks 2011 Bradford J. Loos (University of Utah) Lakulish Antani (UNC Chapel Hill) Kenny Mitchell (Disney Interactive Studios) Derek Nowrouzezahrai (Disney Research) Wojciech Jarosz (Disney Research) Peter-Pike Sloan (Disney Interactive Studios)

Perceptually-Based Compensation of Light Pollution in Display Systems

August 1, 2011 ACM Symposium on Applied Perception in Graphics and Visualization (ACM APGV) 2011 Jeroen van Baar (Disney Research) Steven Poulakos (Disney Research) Wojciech Jarosz (Disney Research) Derek Nowrouzezahrai (Disney Research) Rasmus Tamstorf (Disney Research/Walt Disney Animation Studios) Markus Gross (Disney Research/ETH Zurich)

OverCoat: An Implicit Canvas for 3D Painting

August 7, 2011 ACM SIGGRAPH 2011 Johannes Schmid (Disney Research/ETH Joint PhD) Martin Sebastian Senn (Disney Research/ETH Joint PhD) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research)

Progressive Expectation-Maximization for Hierarchical Rendering of Participating Media

June 27, 2011 Eurographics Symposium on Rendering (EGSR) 2011 Wenzel Jakob (Disney Research/Cornell University) Christian Regg (Disney Research/ETH Joint PhD) Wojciech Jarosz (Disney Research)

Wireless Networking for Automated Live Video Broadcasting

June 20, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) 2011 Domenico Giustiniano (Disney Research) Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Temporal Noise Control for Sketchy Animation

June 11, 2011 Non-Photorealistic Animation and Rendering (NPAR) 2011 Chino Noris (Disney Research/ETH Joint PhD) Daniel Sykora (Czech Technical University in Prague) Stelian Coros (Disney Research) Brian Whited (Walt Disney Animation Studios) Maryann Simmons (Walt Disney Animation Studios) Alexander Sorkine-Hornung (Disney Research) Markus Gross (Disney Research/ETH Zurich) Robert W. Sumner (Disney Research)

3D-TV RnD Activities in Europe

June 1, 2011 IEEE Transactions on Broadcasting 2011 Oliver Grau (BBC)Thierry Borel (Technicolor) Peter Kauff (Fraunhofer HHI) Aljoscha Smolic (Disney Research) Ralf Tanger (Fraunhofer HHI)

Novel Stereoscopic Content Production Tools

June 1, 2011 SMPTE Motion Imaging Journal 2011 Alexander Sorkine-Hornung (Disney Research) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Multi-Robot System for Artistic Pattern Formation

May 9, 2011 IEEE International Conference on Robotics and Automation (ICRA) 2011 Javier Alonso-Mora (Disney Research/ETH Joint PhD) Andreas Breitenmoser (ETH Zurich) Martin Rufli (ETH Zurich) Roland Siegwart (ETH Zurich) Paul Beardsley (Disney Research)

Goal-Based Caustics

April 11, 2011 Eurographics 2011 Marios Papas (Disney Research/ETH Joint PhD) Wojciech Jarosz (Disney Research) Wenzel Jakob (Disney Research) Szymon Rusinkiewicz (Princeton University) Wojciech Matusik (Disney Research) Tim Weyrich (University College London)

Networking Smart Toys with Wireless ToyBridge and ToyTalk

April 10, 2011 IEEE Conference on Computer Communication (IEEE Infocom) 2011 Stefan Schmid (Disney Research/ETH Joint PhD) Maria Gorlatova (Columbia University) Domenico Giustiniano (Disney Research) Vladimir Vukadinovic (Disney Research) Stefan Mangold (Disney Research)

Real-Time Volumetric Shadows using 1D Min-Max Mipmaps

February 18, 2011 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D) 2011 Jiawen Chen (MIT )Ilya Baran (Disney Research) Fredo Durand (MIT) Wojciech Jarosz (Disney Research)

Managing Base Station Location Privacy

January 1, 2011 Military Communications Conference (MILCOM) 2011 Maria Gorlatova (Columbia University) Roberto Aiello (Disney Research) Stefan Mangold (Disney Research)

A Comprehensive Theory of Volumetric Radiance Estimation Using Photon Points and Beams

January 1, 2011 ACM Transaction on Graphics (TOG) 2011 Wojciech Jarosz (Disney Research/University of California, San Diego) Derek Nowrouzezahrai (Disney Research/University of Toronto) Iman Sadeghi (University of California, San Diego) Henrik Wann Jensen (University of California, San Diego)

Supporting Mobile Devices with Wireless LAN/MAN in Large Controlled Environments

December 23, 2010 IEEE Communications Magazine 2010 Kevin Collins (Dublin City University, Ireland) Stefan Mangold (Disney Research) Gabriel-Miro Muntean (Dublin City University, Ireland)

Content-Adaptive Spatial Scalability for Scalable Video Coding

December 8, 2010 Picture Coding Symposium (PCS) 2010 Yongzhe Wang (Shanghai Jiao Tong University) Nikolce Stefanoski (Disney Research) Xiangzhong Fang (Shanghai Jiao Tong University) Aljoscha Smolic (Disney Research)

High-Quality Single-Shot Capture of Facial Geometry

July 26, 2010 ACM SIGGRAPH 2010 Thabo Beeler (Disney Research) Bernd Bickel (Disney Research) Paul Beardsley (Disney Research) Robert W. Sumner (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Nonlinear Disparity Mapping for Stereoscopic 3D

July 26, 2010 ACM SIGGRAPH 2010 Manuel Lang (Disney Research/ETH Joint PhD) Alexander Sorkine-Hornung (Disney Research) Oliver Wang (Disney Research) Steven Poulakos (Disney Research/ETH Zurich) Aljoscha Smolic (Disney Research) Markus Gross (Disney Research/ETH Zurich)

Physical Reproduction of Materials with Specified Subsurface Scattering

July 26, 2010 ACM SIGGRAPH 2010 Milos Hasan (Harvard University) Martin Fuchs (Princeton University) Wojciech Matusik (Disney Research) Hanspeter Pfister (Harvard University) Szymon Rusinkiewicz (Princeton University)

An Artist Friendly Hair Shading System

July 26, 2010 ACM SIGGRAPH 2010 Iman Sadeghi (Walt Disney Animation Studios/University of California, San Diego) Heather Pritchett (Walt Disney Animation Studios) Henrik Wann Jensen (University of California, San Diego) Rasmus Tamstorf (Walt Disney Animation Studios)

Design and Fabrication of Materials with Desired Deformation Behavior

July 26, 2010 ACM SIGGRAPH 2010 Bernd Bickel (Disney Research) Moritz Bächer (Harvard University) Miguel Otaduy (URJC Madrid) Hyunho Richard Lee (Harvard University) Hanspeter Pfister (Harvard University) Markus Gross (Disney Research/ETH Zurich) Wojciech Matusik (Disney Research)

BetweenIT: An Interactive Tool for Tight Inbetweening

May 3, 2010 Eurographics 2010 Brian Whited (Walt Disney Animation Studios) Chino Noris (Disney Research/ETH Joint PhD) Maryann Simmons (Walt Disney Animation Studios) Robert W. Sumner (Disney Research)Markus Gross (Disney Research/ETH Zurich) Jarek Rossignac (Georgia Institute of Technology)

A System for Retargeting of Streaming Video

December 17, 2009 ACM SIGGRAPH Asia 2009 Philip Krähenbühl (ETH Zurich) Manuel Lang (ETH Zurich) Alexander Sorkine-Hornung (ETH Zurich) Markus Gross (Disney Research/ETH Zurich)

A Fluid-Suspension Electromagnetically Driven Eye with Video Capability for Animatronic Applications

December 7, 2009 IEEE Humanoids 2009 Katie Bassett (Disney Research) Marcus Hammond (Disney Research) Lanny Smoot (Disney Research)

Robust Treatment of Simultaneous Collisions

August 11, 2008 ACM SIGGRAPH 2008 David Harmon (Columbia University) Etienne Vouga (Columbia University) Rasmus Tamstorf (Walt Disney Animation Studios) Eitan Grinspun (Columbia University)

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135 Disney Essay Topics

🏆 best disney essay topics, ✍️ disney essay topics for college, 🌟 good disney research topics & essay examples, 🎓 most interesting disney research paper topics, 🏰 disney argumentative essay topics, 🎠 inspiring disney presentation ideas, 🎡 disney park thesis topics.

• Comparison of Netflix, Amazon Prime, Disney+ and HBO Max
• The Walt Disney Company’s BCG Matrix
• The Walt Disney Company: Main Strategies
• Disney Plus Strategy Analysis: Marketing Mix, Market Segmentation, & More
• The Walt Disney Company’s Balanced Scorecard
• Walt Disney Company: Change Management
• Michael Porter’s Strategy Used in Disney Plus Company
• Disney International Strategy This paper analyzes Disney’s international marketing strategy, its products and services, business environment, marketing research, pricing, product management, and communication.
• The Walt Disney Company’s Analysis In 2020, the Walt Disney Company decided to diversify the enterprise into different product segments across entertainment and luxury.
• The Walt Disney Company: Strategic Analysis The analysis of strengths and weaknesses is used for internal analysis of Disney, whereas opportunities, threats, and PESTLE are utilized for external assessment.
• Walt Disney Parks and Resorts: Supply and Demand Analysis Walt Disney Parks and Resorts is one significant segment of the Walt Disney Company that aims at providing the best leisure opportunities for the family vacation.
• The Role of Disney Propaganda During the Cold War From the 1950s until the early 1990s, Cold War anxieties profoundly affected practically every element of life in the U.S.
• The Walt Disney Company’s Strategic Assessment This paper conducts a strategic analysis of the Walt Disney Company using internal and external strategic assessment tools.
• Symbolism in Disney’s Movie “Encanto” One of those movies that people will remember ten years from now is Encanto. The movie has flawless execution, and many people may relate to its topic.
• The Diversification Strategy of Disney The dynamics of the financial and balance sheet indicators given in the report indicate the success of the diversification strategy chosen by the company
• The Walt Disney Marketing Strategies The paper studies how Disney conducts market research, what are its communications and internet marketing strategies, and whether it is ethically responsible.
• Disney Movie “Beauty and The Beast” In “Beauty and The Beast” beauty is considered to be the hallmark of attractiveness, with many of the film personalities presented as beautiful having a field day in many aspects.
• Walt Disney Human Resources Strategy This paper provides a thorough research of The Walt Disney Company as one of the key performers in the world of multinational entertainment corporations.
• Transformational Leadership in Case of Walt Disney Transformational leadership is an effective model for influencing performance and learning. The style allows workers to receive positive influence and become more involved.
• Walt Disney Company Conflicts Management One of the sources of disputes at Disney entails the different values held by the various stakeholders. Conflict occurs when people fail to understand each other.
• Strategy Implementation at Walt Disney Company The paper will cover strategy implementation at Walt Disney Company, control strategy, and qualitative analysis of the balanced scorecard.
• The Walt Disney Company’s Generic Strategy The Walt Disney Company, one of the biggest entertainment companies in the world, utilized various business models. At the present time, the company uses a generic strategy.
• The Walt Disney Company: A Financial Ratio Analysis The Walt Disney Company is one of the most popular companies that offers entertainment in the form of theme parks, shows, series, merchandise, and movies to its customers.
• Disney Films: Projector of Our Society’s Values Disney movies have shaped the skills, behaviors, and morals of both children and adults in contemporary society, by engaging them in a continuous series of thoughtless consumption.
• The Walt Disney Company’s Financial Analysis An evaluation of Walt Disney’s financial statements for the year 2021 reveals that the company experienced a decline in sales, operating expenses, and net income.
• Walt Disney Company’s International Services and Strategies This report describes Disney’s international services and strategies and outlines foreign cultural, economic, and political environments the company operates.
• The Walt Disney Company Analysis This essay aims to analyze one of the largest media conglomerates in the entertainment industry, The Walt Disney Company.
• Euro Disney: Strategic Human Resource Practices and Takeaways This paper describes an example of unsuccessful HR practices – Euro Disney – that can serve as a lesson on how not to conduct HR management.
• A History of Disney Feature Animation The part of Disney’s unique status in film and animation industry is its appeal to the audiences of different and preferences.
• Walt Disney Company Corporate Social Responsibility Plan The Walt Disney company’s vision is to ensure that its corporate social responsibility accommodates different viewpoints and interests on the part of its shareholders, employees, business partners, associates, guests.
• Disney Animation’s Society Reflection & Influence The influential bearings of animated films on children can be found in the renowned Walt Disney Heroines who are a true reflection of the dynamic American values.
• Disney Imagineering: Local Cultures When Disney is choosing to open a theme park in a certain location, it is necessary to identify the various meanings of the people for them to adapt.
• Strategic Analysis of the Disney Corporation The Disney Corporation is one of the leaders in the entertainment industry. It generated a stable annual income, which comprised around $67B in 2021.
• The Ideology of Disney Princesses and Its Effects on Female Viewers The Disney corporation has built a multibillion-dollar empire by successfully repackaging established European princess fairytales and selling them to young audiences.
• Hewlett-Packard and Disney’s Strategic Alliance Strategic alliance is an efficient method of handling market-related difficulties, particularly, rivalry, as the SA of Hewlett-Packard and Disney has exemplified.
• Organizational Culture Importance: Disney and Fox Companies Organizational culture is a very important aspect for any company. This paper studies the organizational culture of Disney and Fox companies to emphasize its importance.
• Disney’s Pre-COVID Sustainability Strategy Corporate sustainability strategies ensure that sustainable development activities aim at social, environmental, and economic dimensions.
• Eisner and the Disney Company It was found that during the governance of Eisner at the Disney company, this corporation was prospering financially year by year.
• Walt Disney Company: SWOT Analysis Strengths, weaknesses, opportunities, and threats analysis of Walt Disney allows assessing the transformation needed based on a company’s advantages
• Disney Company’s International Pricing and Branding This study examines Disney’s pricing strategy overseas, outlines its international product management and branding strategies, and describes how a company conducts market research.
• Disney World Company Interests In this proposal, the researcher has identified Disney World as the company interest that will be used in the research. The researcher will analyze stakeholder and corporate social responsibility.
• Information of Walt Disney Animation Studios The Walt Disney Animation Studios is a part of The Walt Disney Studios. Walt Disney Animation Studios released the Frozen movie, which became one of its greatest success stories.
• The Walt Disney: Analysis of Mission Statement and SWOT Analysis The paper is going to discuss the present, future operations of the Walt Disney Company, analyze the strength, weaknesses, opportunities, threats, and mission statement.
• Michael Eisner and His Reign at Disney The history of the conflict is closely connected with the persuasive authority of the CEO and the practical lack of independence caused by strong, friendly relations within the board of directors
• Disney and Information Technology Infrastructure Library This paper provides information about Disney’s experience with ITIL implementations, such as reasons for it, results achieved, possible challenges, and reasons for success.
• Walt Disney Parks and Resorts Inc. in China The positive changes of the key macroeconomic indicators in China have created favorable conditions for the Walt Disney Parks and Resorts Worldwide, Inc.
• Disney Corporation Effects on Children and Young Adults While there are many positive aspects to the entertainment offered by Disney, there are also many potential negative effects.
• Disney Princesses: How Movies Impact Gender Roles Gender roles stand for an ever-changing concept that is going to be exploited by Disney in accordance with the exceptional values characteristic of the target audience.
• The Walt Disney Company’s Organizational Culture The Walt Disney Company’s practices benefit its stakeholders, which shows that people are another central concept of the company’s organizational culture.
• Animation Film Pocahontas by Walt Disney A seventy-eight-minute animation film, Pocahontas, by Walt Disney, is about a Native American heroine who saved a British man, John Smith, from execution.
• Walt Disney Company, Apple, Etsy, Tesla, American Eagle: Stock Market Analysis Walt Disney Company posted a net loss of $8.14 for the week after opening the week at $116.39 per share and closing at $108.25 per share.
• Contribution of Art, Theatre, and Disney to the American History The paper indicates that American history and culture have been transmitted through the generations via the arts, theatre, and Disney.
• Walt Disney Company: Protecting the Digital Content Protecting the digital content of the Walt Disney Company is relevant because it will prevent attacks from cybercriminals.
• Walt Disney’s Customer and Employee Satisfaction Improvement The paper discusses the ways to improve employee and customer satisfaction and the Walt Disney Company’s enhanced performance and competitive advantage.
• The Disney Company’s Strategy Assessment The Disney company employs a multi-domestic strategy, allowing it to adjust to the cultural and historical climate in its works.
• Analysis of Disney Business Strategies Disney’s ongoing success, which has a significant history, can be attributed to the company’s expertise in diversification, which accumulates value.
• Analysis of the Audiovisual Ecosystem and the Strategies: Walt Disney Audiovisual is a wide range of devices that transmit information by combining audio and visual media and creates an audiovisual ecosystem.
• Walt Disney’s Success: International Analysis People have already established positive attitudes toward Walt Disney and additional stories will further contribute to that image in customers’ perception of the company.
• Disney Company Potential Acquisition of Pixar Inc Disney is a worldwide entertainment company. The CEO of Walt Disney Company, Robert Iger, has expressed interest in acquiring Pixar Inc.
• Euro Disney Project: Employment and Labor Laws Madrid’s labor laws are employee-oriented such that the law protects the rights and privileges of both workers and employers.
• The Disney Difference: Making Magic Happen This essay provides information on the Disney Difference and their impact on corporate, competitive, and functional strategies.
• Disney Corporation: Company Analysis The Disney Corporation is a popular company in the entertainment industry. This report will briefly examine the history of the company and discuss its products and services.
• Disney Company’s Strategic Research Project Disney is an entertainment company catering to family interests with a focus on 4 business segments: studio entertainment media networks, resorts, parks, and consumer products.
• Walt Disney Parks and Resorts Worldwide Inc.’s Market The company, Walt Disney Parks and Resorts Worldwide Incorporation, operates in the oligopolistic market structure.
• Walt Disney Corporation: The Magic of a Proper Marketing There is no need in a detailed observation to notice that Walt Disney Company’s marketing approach desperately lacks subtlety. At present, the entrepreneurship is clearly feared toward expansion.
• Walt Disney Parks and Resorts: Company Information Walt Disney Parks and Resorts operates in the amusement park industry and is closely connected with tourism as well. The organization was founded in 1971.
• The Disney Princess Effect in Child Developmen The article focuses on the impact that the “Disney Princess Culture” has had on the emotional and psychological development of young girls.
• Disney’s Globalization and What Drives It
• Walt Disney and How He Revolutionized the World of Animation
• Are Disney Princesses Still Good Role Models Today
• Hidden Sexual Messages Found in Disney Movies
• Disney’s Strategic Decision Making
• Does Disney Hurt Self-Image?
• Million Dollar Miley: How Disney Dominated the Tween
• Pocahontas: Native American Stereotypes in a Disney Movie
• Popularity Behind Walt Disney World
• Walt Disney and His Own Childhood Life
• Implementing Biometrics for Disney’s Security
• The Differences Between Disney Corporation and Its European Employees
• Racism and Different Background Ethnicity in Disney’s Movies
• Marketing Theory and Case Study of Euro Disney
• Cultural and Social Challenges of the Walt Disney Company
• How Has Disney Changed Their Perception of Their Business?
• Walt Disney: American Film Producer & Biography
• Social and Behavioral Norms of the Disney Film Frozen
• How Disney Animations Illustrate Political Propaganda?
• Disney Corporation Environmental Policy Statement
• Female Roles and Stereotypes in Disney Animated Films
• Disney Company’s Total Quality Management Implementation
• Walt Disney Was the Most Influential Person of the Twentieth Century
• Disney World and Consumer Behavior
• Gender and Language Stereotypes of Male Characters in Disney Movies
• The Ideology and Class Conflict Between the Bourgeoisie and the Proletariat and the Changes in Disney’s Tangled
• Have You Ever Wondered Why Disney Tales All End in Lies
• The Life, Personality, and Legacy of Walt Disney
• How Has Disney Forever Shaped Our Culture?
• Walt Disney and the American Mass Media Company
• The History and Organizational Structure of Walt Disney Company
• Walt Disney Company Has Four Major Strategic Business
• Disney Magic: Consumerism, Technologies, and Influences
• Are Disney Movies Suitable for the Adolescent Mind
• Beauty and Behavioral Standards and Disney Programs
• The American Animation Industry and Walt Disney
• Disney Movies: The Imagination and the Reality
• Racist and Sexist Stereotypes in Disney’s Aladdin
• Fairytales and Disney Productions Threaten Gender Politics and Women‘s
• Walt Disney World Compensation Plan For Three Professional Positions
• How Disney Parks Become the Popular Amusement Park It Is?
• Walt Disney and Jet-Age City Planning
• The Possible Issues With Disney’s Merge With Streaming Services
• Disney’s Transition Into Television and Its Effects on Child Actors
• The Magic of Creativity: Exploring how Disney’s Innovation Has Shaped the Entertainment Industry
• Disney’s Customer Experience: Examining Disney’s Exceptional Customer Service
• The Business of Imagineering – Creating Disney Theme Parks
• Building Iconic Brands: Uncovering Disney’s Marketing Tactics and Brand Building Strategies
• The Economics of Magic and Disney’s Financial Success
• The Enchanting Evolution of Disney Princesses: From Animation to Wax Museum Icons
• Disney Plus at Streaming Service – An In-depth Review of Disney’s Online Platform
• Unveiling the Secrets of Disney World: A Behind-the-Scenes Tour of the Magical Kingdom
• Evolution of Disney Princess’s Characters
• Behind the Scenes: Disney Animation Techniques & Animated Movies
• Disney’s Philanthropic Initiatives and Community Engagement
• Disney’s Diversity and Inclusion: Celebrating Differences
• The Economics of Disney Parks: Analyzing the Financial Success Factors Behind Their Operations
• Design and Planning Principles Behind Disney Park Layouts and Its Effect on Crowd Management
• The Final Frontier of Theme Parks: Imagining Futuristic Designs and Experiences in the Age of Technology
• Emotional Design in Shaping Visitor Perceptions and Loyalty in Disney Parks
• Amusement Park Safety and Design: Strategies for Ensuring Thrills without Compromising Visitor Security
• Innovative Architectural Trends in Modern Amusement Parks: A Comparative Study of Disneyland in California and Beyond
• From Live Shows to Technologically Enhanced Spectacles – Evolution of Disney Park Entertainment
• Data Analytics for Improving Guest Satisfaction and Operational Efficiency in Disney Parks
• Disney Parks’ Architecture: The Evolution of Magical Design in the Happiest Place on Earth
• The Impact of Disney Park Merchandising on Guest Spending Behavior
• Role of Disney Park Cast Members in Creating Magical Guest Experiences
• Global Expansion Strategies of Disney Parks and Their Adaptation to Local Cultures

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This essay topic collection was updated on January 8, 2024 .

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• Published: 17 April 2024

The economic commitment of climate change

• Maximilian Kotz   ORCID: orcid.org/0000-0003-2564-5043 1 , 2 ,
• Anders Levermann   ORCID: orcid.org/0000-0003-4432-4704 1 , 2 &
• Leonie Wenz   ORCID: orcid.org/0000-0002-8500-1568 1 , 3  

Nature volume  628 ,  pages 551–557 ( 2024 ) Cite this article

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• Environmental economics
• Environmental health
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• Projection and prediction

Global projections of macroeconomic climate-change damages typically consider impacts from average annual and national temperatures over long time horizons 1 , 2 , 3 , 4 , 5 , 6 . Here we use recent empirical findings from more than 1,600 regions worldwide over the past 40 years to project sub-national damages from temperature and precipitation, including daily variability and extremes 7 , 8 . Using an empirical approach that provides a robust lower bound on the persistence of impacts on economic growth, we find that the world economy is committed to an income reduction of 19% within the next 26 years independent of future emission choices (relative to a baseline without climate impacts, likely range of 11–29% accounting for physical climate and empirical uncertainty). These damages already outweigh the mitigation costs required to limit global warming to 2 °C by sixfold over this near-term time frame and thereafter diverge strongly dependent on emission choices. Committed damages arise predominantly through changes in average temperature, but accounting for further climatic components raises estimates by approximately 50% and leads to stronger regional heterogeneity. Committed losses are projected for all regions except those at very high latitudes, at which reductions in temperature variability bring benefits. The largest losses are committed at lower latitudes in regions with lower cumulative historical emissions and lower present-day income.

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Projections of the macroeconomic damage caused by future climate change are crucial to informing public and policy debates about adaptation, mitigation and climate justice. On the one hand, adaptation against climate impacts must be justified and planned on the basis of an understanding of their future magnitude and spatial distribution 9 . This is also of importance in the context of climate justice 10 , as well as to key societal actors, including governments, central banks and private businesses, which increasingly require the inclusion of climate risks in their macroeconomic forecasts to aid adaptive decision-making 11 , 12 . On the other hand, climate mitigation policy such as the Paris Climate Agreement is often evaluated by balancing the costs of its implementation against the benefits of avoiding projected physical damages. This evaluation occurs both formally through cost–benefit analyses 1 , 4 , 5 , 6 , as well as informally through public perception of mitigation and damage costs 13 .

Projections of future damages meet challenges when informing these debates, in particular the human biases relating to uncertainty and remoteness that are raised by long-term perspectives 14 . Here we aim to overcome such challenges by assessing the extent of economic damages from climate change to which the world is already committed by historical emissions and socio-economic inertia (the range of future emission scenarios that are considered socio-economically plausible 15 ). Such a focus on the near term limits the large uncertainties about diverging future emission trajectories, the resulting long-term climate response and the validity of applying historically observed climate–economic relations over long timescales during which socio-technical conditions may change considerably. As such, this focus aims to simplify the communication and maximize the credibility of projected economic damages from future climate change.

In projecting the future economic damages from climate change, we make use of recent advances in climate econometrics that provide evidence for impacts on sub-national economic growth from numerous components of the distribution of daily temperature and precipitation 3 , 7 , 8 . Using fixed-effects panel regression models to control for potential confounders, these studies exploit within-region variation in local temperature and precipitation in a panel of more than 1,600 regions worldwide, comprising climate and income data over the past 40 years, to identify the plausibly causal effects of changes in several climate variables on economic productivity 16 , 17 . Specifically, macroeconomic impacts have been identified from changing daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall that occur in addition to those already identified from changing average temperature 2 , 3 , 18 . Moreover, regional heterogeneity in these effects based on the prevailing local climatic conditions has been found using interactions terms. The selection of these climate variables follows micro-level evidence for mechanisms related to the impacts of average temperatures on labour and agricultural productivity 2 , of temperature variability on agricultural productivity and health 7 , as well as of precipitation on agricultural productivity, labour outcomes and flood damages 8 (see Extended Data Table 1 for an overview, including more detailed references). References  7 , 8 contain a more detailed motivation for the use of these particular climate variables and provide extensive empirical tests about the robustness and nature of their effects on economic output, which are summarized in Methods . By accounting for these extra climatic variables at the sub-national level, we aim for a more comprehensive description of climate impacts with greater detail across both time and space.

Constraining the persistence of impacts

A key determinant and source of discrepancy in estimates of the magnitude of future climate damages is the extent to which the impact of a climate variable on economic growth rates persists. The two extreme cases in which these impacts persist indefinitely or only instantaneously are commonly referred to as growth or level effects 19 , 20 (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for mathematical definitions). Recent work shows that future damages from climate change depend strongly on whether growth or level effects are assumed 20 . Following refs.  2 , 18 , we provide constraints on this persistence by using distributed lag models to test the significance of delayed effects separately for each climate variable. Notably, and in contrast to refs.  2 , 18 , we use climate variables in their first-differenced form following ref.  3 , implying a dependence of the growth rate on a change in climate variables. This choice means that a baseline specification without any lags constitutes a model prior of purely level effects, in which a permanent change in the climate has only an instantaneous effect on the growth rate 3 , 19 , 21 . By including lags, one can then test whether any effects may persist further. This is in contrast to the specification used by refs.  2 , 18 , in which climate variables are used without taking the first difference, implying a dependence of the growth rate on the level of climate variables. In this alternative case, the baseline specification without any lags constitutes a model prior of pure growth effects, in which a change in climate has an infinitely persistent effect on the growth rate. Consequently, including further lags in this alternative case tests whether the initial growth impact is recovered 18 , 19 , 21 . Both of these specifications suffer from the limiting possibility that, if too few lags are included, one might falsely accept the model prior. The limitations of including a very large number of lags, including loss of data and increasing statistical uncertainty with an increasing number of parameters, mean that such a possibility is likely. By choosing a specification in which the model prior is one of level effects, our approach is therefore conservative by design, avoiding assumptions of infinite persistence of climate impacts on growth and instead providing a lower bound on this persistence based on what is observable empirically (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for further exposition of this framework). The conservative nature of such a choice is probably the reason that ref.  19 finds much greater consistency between the impacts projected by models that use the first difference of climate variables, as opposed to their levels.

We begin our empirical analysis of the persistence of climate impacts on growth using ten lags of the first-differenced climate variables in fixed-effects distributed lag models. We detect substantial effects on economic growth at time lags of up to approximately 8–10 years for the temperature terms and up to approximately 4 years for the precipitation terms (Extended Data Fig. 1 and Extended Data Table 2 ). Furthermore, evaluation by means of information criteria indicates that the inclusion of all five climate variables and the use of these numbers of lags provide a preferable trade-off between best-fitting the data and including further terms that could cause overfitting, in comparison with model specifications excluding climate variables or including more or fewer lags (Extended Data Fig. 3 , Supplementary Methods Section  1 and Supplementary Table 1 ). We therefore remove statistically insignificant terms at later lags (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). Further tests using Monte Carlo simulations demonstrate that the empirical models are robust to autocorrelation in the lagged climate variables (Supplementary Methods Section  2 and Supplementary Figs. 4 and 5 ), that information criteria provide an effective indicator for lag selection (Supplementary Methods Section  2 and Supplementary Fig. 6 ), that the results are robust to concerns of imperfect multicollinearity between climate variables and that including several climate variables is actually necessary to isolate their separate effects (Supplementary Methods Section  3 and Supplementary Fig. 7 ). We provide a further robustness check using a restricted distributed lag model to limit oscillations in the lagged parameter estimates that may result from autocorrelation, finding that it provides similar estimates of cumulative marginal effects to the unrestricted model (Supplementary Methods Section 4 and Supplementary Figs. 8 and 9 ). Finally, to explicitly account for any outstanding uncertainty arising from the precise choice of the number of lags, we include empirical models with marginally different numbers of lags in the error-sampling procedure of our projection of future damages. On the basis of the lag-selection procedure (the significance of lagged terms in Extended Data Fig. 1 and Extended Data Table 2 , as well as information criteria in Extended Data Fig. 3 ), we sample from models with eight to ten lags for temperature and four for precipitation (models shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). In summary, this empirical approach to constrain the persistence of climate impacts on economic growth rates is conservative by design in avoiding assumptions of infinite persistence, but nevertheless provides a lower bound on the extent of impact persistence that is robust to the numerous tests outlined above.

Committed damages until mid-century

We combine these empirical economic response functions (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) with an ensemble of 21 climate models (see Supplementary Table 5 ) from the Coupled Model Intercomparison Project Phase 6 (CMIP-6) 22 to project the macroeconomic damages from these components of physical climate change (see Methods for further details). Bias-adjusted climate models that provide a highly accurate reproduction of observed climatological patterns with limited uncertainty (Supplementary Table 6 ) are used to avoid introducing biases in the projections. Following a well-developed literature 2 , 3 , 19 , these projections do not aim to provide a prediction of future economic growth. Instead, they are a projection of the exogenous impact of future climate conditions on the economy relative to the baselines specified by socio-economic projections, based on the plausibly causal relationships inferred by the empirical models and assuming ceteris paribus. Other exogenous factors relevant for the prediction of economic output are purposefully assumed constant.

A Monte Carlo procedure that samples from climate model projections, empirical models with different numbers of lags and model parameter estimates (obtained by 1,000 block-bootstrap resamples of each of the regressions in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) is used to estimate the combined uncertainty from these sources. Given these uncertainty distributions, we find that projected global damages are statistically indistinguishable across the two most extreme emission scenarios until 2049 (at the 5% significance level; Fig. 1 ). As such, the climate damages occurring before this time constitute those to which the world is already committed owing to the combination of past emissions and the range of future emission scenarios that are considered socio-economically plausible 15 . These committed damages comprise a permanent income reduction of 19% on average globally (population-weighted average) in comparison with a baseline without climate-change impacts (with a likely range of 11–29%, following the likelihood classification adopted by the Intergovernmental Panel on Climate Change (IPCC); see caption of Fig. 1 ). Even though levels of income per capita generally still increase relative to those of today, this constitutes a permanent income reduction for most regions, including North America and Europe (each with median income reductions of approximately 11%) and with South Asia and Africa being the most strongly affected (each with median income reductions of approximately 22%; Fig. 1 ). Under a middle-of-the road scenario of future income development (SSP2, in which SSP stands for Shared Socio-economic Pathway), this corresponds to global annual damages in 2049 of 38 trillion in 2005 international dollars (likely range of 19–59 trillion 2005 international dollars). Compared with empirical specifications that assume pure growth or pure level effects, our preferred specification that provides a robust lower bound on the extent of climate impact persistence produces damages between these two extreme assumptions (Extended Data Fig. 3 ).

Estimates of the projected reduction in income per capita from changes in all climate variables based on empirical models of climate impacts on economic output with a robust lower bound on their persistence (Extended Data Fig. 1 ) under a low-emission scenario compatible with the 2 °C warming target and a high-emission scenario (SSP2-RCP2.6 and SSP5-RCP8.5, respectively) are shown in purple and orange, respectively. Shading represents the 34% and 10% confidence intervals reflecting the likely and very likely ranges, respectively (following the likelihood classification adopted by the IPCC), having estimated uncertainty from a Monte Carlo procedure, which samples the uncertainty from the choice of physical climate models, empirical models with different numbers of lags and bootstrapped estimates of the regression parameters shown in Supplementary Figs. 1 – 3 . Vertical dashed lines show the time at which the climate damages of the two emission scenarios diverge at the 5% and 1% significance levels based on the distribution of differences between emission scenarios arising from the uncertainty sampling discussed above. Note that uncertainty in the difference of the two scenarios is smaller than the combined uncertainty of the two respective scenarios because samples of the uncertainty (climate model and empirical model choice, as well as model parameter bootstrap) are consistent across the two emission scenarios, hence the divergence of damages occurs while the uncertainty bounds of the two separate damage scenarios still overlap. Estimates of global mitigation costs from the three IAMs that provide results for the SSP2 baseline and SSP2-RCP2.6 scenario are shown in light green in the top panel, with the median of these estimates shown in bold.

Damages already outweigh mitigation costs

We compare the damages to which the world is committed over the next 25 years to estimates of the mitigation costs required to achieve the Paris Climate Agreement. Taking estimates of mitigation costs from the three integrated assessment models (IAMs) in the IPCC AR6 database 23 that provide results under comparable scenarios (SSP2 baseline and SSP2-RCP2.6, in which RCP stands for Representative Concentration Pathway), we find that the median committed climate damages are larger than the median mitigation costs in 2050 (six trillion in 2005 international dollars) by a factor of approximately six (note that estimates of mitigation costs are only provided every 10 years by the IAMs and so a comparison in 2049 is not possible). This comparison simply aims to compare the magnitude of future damages against mitigation costs, rather than to conduct a formal cost–benefit analysis of transitioning from one emission path to another. Formal cost–benefit analyses typically find that the net benefits of mitigation only emerge after 2050 (ref.  5 ), which may lead some to conclude that physical damages from climate change are simply not large enough to outweigh mitigation costs until the second half of the century. Our simple comparison of their magnitudes makes clear that damages are actually already considerably larger than mitigation costs and the delayed emergence of net mitigation benefits results primarily from the fact that damages across different emission paths are indistinguishable until mid-century (Fig. 1 ).

Although these near-term damages constitute those to which the world is already committed, we note that damage estimates diverge strongly across emission scenarios after 2049, conveying the clear benefits of mitigation from a purely economic point of view that have been emphasized in previous studies 4 , 24 . As well as the uncertainties assessed in Fig. 1 , these conclusions are robust to structural choices, such as the timescale with which changes in the moderating variables of the empirical models are estimated (Supplementary Figs. 10 and 11 ), as well as the order in which one accounts for the intertemporal and international components of currency comparison (Supplementary Fig. 12 ; see Methods for further details).

Damages from variability and extremes

Committed damages primarily arise through changes in average temperature (Fig. 2 ). This reflects the fact that projected changes in average temperature are larger than those in other climate variables when expressed as a function of their historical interannual variability (Extended Data Fig. 4 ). Because the historical variability is that on which the empirical models are estimated, larger projected changes in comparison with this variability probably lead to larger future impacts in a purely statistical sense. From a mechanistic perspective, one may plausibly interpret this result as implying that future changes in average temperature are the most unprecedented from the perspective of the historical fluctuations to which the economy is accustomed and therefore will cause the most damage. This insight may prove useful in terms of guiding adaptation measures to the sources of greatest damage.

Estimates of the median projected reduction in sub-national income per capita across emission scenarios (SSP2-RCP2.6 and SSP2-RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ). a , Impacts arising from all climate variables. b – f , Impacts arising separately from changes in annual mean temperature ( b ), daily temperature variability ( c ), total annual precipitation ( d ), the annual number of wet days (>1 mm) ( e ) and extreme daily rainfall ( f ) (see Methods for further definitions). Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Nevertheless, future damages based on empirical models that consider changes in annual average temperature only and exclude the other climate variables constitute income reductions of only 13% in 2049 (Extended Data Fig. 5a , likely range 5–21%). This suggests that accounting for the other components of the distribution of temperature and precipitation raises net damages by nearly 50%. This increase arises through the further damages that these climatic components cause, but also because their inclusion reveals a stronger negative economic response to average temperatures (Extended Data Fig. 5b ). The latter finding is consistent with our Monte Carlo simulations, which suggest that the magnitude of the effect of average temperature on economic growth is underestimated unless accounting for the impacts of other correlated climate variables (Supplementary Fig. 7 ).

In terms of the relative contributions of the different climatic components to overall damages, we find that accounting for daily temperature variability causes the largest increase in overall damages relative to empirical frameworks that only consider changes in annual average temperature (4.9 percentage points, likely range 2.4–8.7 percentage points, equivalent to approximately 10 trillion international dollars). Accounting for precipitation causes smaller increases in overall damages, which are—nevertheless—equivalent to approximately 1.2 trillion international dollars: 0.01 percentage points (−0.37–0.33 percentage points), 0.34 percentage points (0.07–0.90 percentage points) and 0.36 percentage points (0.13–0.65 percentage points) from total annual precipitation, the number of wet days and extreme daily precipitation, respectively. Moreover, climate models seem to underestimate future changes in temperature variability 25 and extreme precipitation 26 , 27 in response to anthropogenic forcing as compared with that observed historically, suggesting that the true impacts from these variables may be larger.

The distribution of committed damages

The spatial distribution of committed damages (Fig. 2a ) reflects a complex interplay between the patterns of future change in several climatic components and those of historical economic vulnerability to changes in those variables. Damages resulting from increasing annual mean temperature (Fig. 2b ) are negative almost everywhere globally, and larger at lower latitudes in regions in which temperatures are already higher and economic vulnerability to temperature increases is greatest (see the response heterogeneity to mean temperature embodied in Extended Data Fig. 1a ). This occurs despite the amplified warming projected at higher latitudes 28 , suggesting that regional heterogeneity in economic vulnerability to temperature changes outweighs heterogeneity in the magnitude of future warming (Supplementary Fig. 13a ). Economic damages owing to daily temperature variability (Fig. 2c ) exhibit a strong latitudinal polarisation, primarily reflecting the physical response of daily variability to greenhouse forcing in which increases in variability across lower latitudes (and Europe) contrast decreases at high latitudes 25 (Supplementary Fig. 13b ). These two temperature terms are the dominant determinants of the pattern of overall damages (Fig. 2a ), which exhibits a strong polarity with damages across most of the globe except at the highest northern latitudes. Future changes in total annual precipitation mainly bring economic benefits except in regions of drying, such as the Mediterranean and central South America (Fig. 2d and Supplementary Fig. 13c ), but these benefits are opposed by changes in the number of wet days, which produce damages with a similar pattern of opposite sign (Fig. 2e and Supplementary Fig. 13d ). By contrast, changes in extreme daily rainfall produce damages in all regions, reflecting the intensification of daily rainfall extremes over global land areas 29 , 30 (Fig. 2f and Supplementary Fig. 13e ).

The spatial distribution of committed damages implies considerable injustice along two dimensions: culpability for the historical emissions that have caused climate change and pre-existing levels of socio-economic welfare. Spearman’s rank correlations indicate that committed damages are significantly larger in countries with smaller historical cumulative emissions, as well as in regions with lower current income per capita (Fig. 3 ). This implies that those countries that will suffer the most from the damages already committed are those that are least responsible for climate change and which also have the least resources to adapt to it.

Estimates of the median projected change in national income per capita across emission scenarios (RCP2.6 and RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ) are plotted against cumulative national emissions per capita in 2020 (from the Global Carbon Project) and coloured by national income per capita in 2020 (from the World Bank) in a and vice versa in b . In each panel, the size of each scatter point is weighted by the national population in 2020 (from the World Bank). Inset numbers indicate the Spearman’s rank correlation ρ and P -values for a hypothesis test whose null hypothesis is of no correlation, as well as the Spearman’s rank correlation weighted by national population.

To further quantify this heterogeneity, we assess the difference in committed damages between the upper and lower quartiles of regions when ranked by present income levels and historical cumulative emissions (using a population weighting to both define the quartiles and estimate the group averages). On average, the quartile of countries with lower income are committed to an income loss that is 8.9 percentage points (or 61%) greater than the upper quartile (Extended Data Fig. 6 ), with a likely range of 3.8–14.7 percentage points across the uncertainty sampling of our damage projections (following the likelihood classification adopted by the IPCC). Similarly, the quartile of countries with lower historical cumulative emissions are committed to an income loss that is 6.9 percentage points (or 40%) greater than the upper quartile, with a likely range of 0.27–12 percentage points. These patterns reemphasize the prevalence of injustice in climate impacts 31 , 32 , 33 in the context of the damages to which the world is already committed by historical emissions and socio-economic inertia.

Contextualizing the magnitude of damages

The magnitude of projected economic damages exceeds previous literature estimates 2 , 3 , arising from several developments made on previous approaches. Our estimates are larger than those of ref.  2 (see first row of Extended Data Table 3 ), primarily because of the facts that sub-national estimates typically show a steeper temperature response (see also refs.  3 , 34 ) and that accounting for other climatic components raises damage estimates (Extended Data Fig. 5 ). However, we note that our empirical approach using first-differenced climate variables is conservative compared with that of ref.  2 in regard to the persistence of climate impacts on growth (see introduction and Methods section ‘Empirical model specification: fixed-effects distributed lag models’), an important determinant of the magnitude of long-term damages 19 , 21 . Using a similar empirical specification to ref.  2 , which assumes infinite persistence while maintaining the rest of our approach (sub-national data and further climate variables), produces considerably larger damages (purple curve of Extended Data Fig. 3 ). Compared with studies that do take the first difference of climate variables 3 , 35 , our estimates are also larger (see second and third rows of Extended Data Table 3 ). The inclusion of further climate variables (Extended Data Fig. 5 ) and a sufficient number of lags to more adequately capture the extent of impact persistence (Extended Data Figs. 1 and 2 ) are the main sources of this difference, as is the use of specifications that capture nonlinearities in the temperature response when compared with ref.  35 . In summary, our estimates develop on previous studies by incorporating the latest data and empirical insights 7 , 8 , as well as in providing a robust empirical lower bound on the persistence of impacts on economic growth, which constitutes a middle ground between the extremes of the growth-versus-levels debate 19 , 21 (Extended Data Fig. 3 ).

Compared with the fraction of variance explained by the empirical models historically (<5%), the projection of reductions in income of 19% may seem large. This arises owing to the fact that projected changes in climatic conditions are much larger than those that were experienced historically, particularly for changes in average temperature (Extended Data Fig. 4 ). As such, any assessment of future climate-change impacts necessarily requires an extrapolation outside the range of the historical data on which the empirical impact models were evaluated. Nevertheless, these models constitute the most state-of-the-art methods for inference of plausibly causal climate impacts based on observed data. Moreover, we take explicit steps to limit out-of-sample extrapolation by capping the moderating variables of the interaction terms at the 95th percentile of the historical distribution (see Methods ). This avoids extrapolating the marginal effects outside what was observed historically. Given the nonlinear response of economic output to annual mean temperature (Extended Data Fig. 1 and Extended Data Table 2 ), this is a conservative choice that limits the magnitude of damages that we project. Furthermore, back-of-the-envelope calculations indicate that the projected damages are consistent with the magnitude and patterns of historical economic development (see Supplementary Discussion Section  5 ).

Missing impacts and spatial spillovers

Despite assessing several climatic components from which economic impacts have recently been identified 3 , 7 , 8 , this assessment of aggregate climate damages should not be considered comprehensive. Important channels such as impacts from heatwaves 31 , sea-level rise 36 , tropical cyclones 37 and tipping points 38 , 39 , as well as non-market damages such as those to ecosystems 40 and human health 41 , are not considered in these estimates. Sea-level rise is unlikely to be feasibly incorporated into empirical assessments such as this because historical sea-level variability is mostly small. Non-market damages are inherently intractable within our estimates of impacts on aggregate monetary output and estimates of these impacts could arguably be considered as extra to those identified here. Recent empirical work suggests that accounting for these channels would probably raise estimates of these committed damages, with larger damages continuing to arise in the global south 31 , 36 , 37 , 38 , 39 , 40 , 41 , 42 .

Moreover, our main empirical analysis does not explicitly evaluate the potential for impacts in local regions to produce effects that ‘spill over’ into other regions. Such effects may further mitigate or amplify the impacts we estimate, for example, if companies relocate production from one affected region to another or if impacts propagate along supply chains. The current literature indicates that trade plays a substantial role in propagating spillover effects 43 , 44 , making their assessment at the sub-national level challenging without available data on sub-national trade dependencies. Studies accounting for only spatially adjacent neighbours indicate that negative impacts in one region induce further negative impacts in neighbouring regions 45 , 46 , 47 , 48 , suggesting that our projected damages are probably conservative by excluding these effects. In Supplementary Fig. 14 , we assess spillovers from neighbouring regions using a spatial-lag model. For simplicity, this analysis excludes temporal lags, focusing only on contemporaneous effects. The results show that accounting for spatial spillovers can amplify the overall magnitude, and also the heterogeneity, of impacts. Consistent with previous literature, this indicates that the overall magnitude (Fig. 1 ) and heterogeneity (Fig. 3 ) of damages that we project in our main specification may be conservative without explicitly accounting for spillovers. We note that further analysis that addresses both spatially and trade-connected spillovers, while also accounting for delayed impacts using temporal lags, would be necessary to adequately address this question fully. These approaches offer fruitful avenues for further research but are beyond the scope of this manuscript, which primarily aims to explore the impacts of different climate conditions and their persistence.

Policy implications

We find that the economic damages resulting from climate change until 2049 are those to which the world economy is already committed and that these greatly outweigh the costs required to mitigate emissions in line with the 2 °C target of the Paris Climate Agreement (Fig. 1 ). This assessment is complementary to formal analyses of the net costs and benefits associated with moving from one emission path to another, which typically find that net benefits of mitigation only emerge in the second half of the century 5 . Our simple comparison of the magnitude of damages and mitigation costs makes clear that this is primarily because damages are indistinguishable across emissions scenarios—that is, committed—until mid-century (Fig. 1 ) and that they are actually already much larger than mitigation costs. For simplicity, and owing to the availability of data, we compare damages to mitigation costs at the global level. Regional estimates of mitigation costs may shed further light on the national incentives for mitigation to which our results already hint, of relevance for international climate policy. Although these damages are committed from a mitigation perspective, adaptation may provide an opportunity to reduce them. Moreover, the strong divergence of damages after mid-century reemphasizes the clear benefits of mitigation from a purely economic perspective, as highlighted in previous studies 1 , 4 , 6 , 24 .

Historical climate data

Historical daily 2-m temperature and precipitation totals (in mm) are obtained for the period 1979–2019 from the W5E5 database. The W5E5 dataset comes from ERA-5, a state-of-the-art reanalysis of historical observations, but has been bias-adjusted by applying version 2.0 of the WATCH Forcing Data to ERA-5 reanalysis data and precipitation data from version 2.3 of the Global Precipitation Climatology Project to better reflect ground-based measurements 49 , 50 , 51 . We obtain these data on a 0.5° × 0.5° grid from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) database. Notably, these historical data have been used to bias-adjust future climate projections from CMIP-6 (see the following section), ensuring consistency between the distribution of historical daily weather on which our empirical models were estimated and the climate projections used to estimate future damages. These data are publicly available from the ISIMIP database. See refs.  7 , 8 for robustness tests of the empirical models to the choice of climate data reanalysis products.

Future climate data

Daily 2-m temperature and precipitation totals (in mm) are taken from 21 climate models participating in CMIP-6 under a high (RCP8.5) and a low (RCP2.6) greenhouse gas emission scenario from 2015 to 2100. The data have been bias-adjusted and statistically downscaled to a common half-degree grid to reflect the historical distribution of daily temperature and precipitation of the W5E5 dataset using the trend-preserving method developed by the ISIMIP 50 , 52 . As such, the climate model data reproduce observed climatological patterns exceptionally well (Supplementary Table 5 ). Gridded data are publicly available from the ISIMIP database.

Historical economic data

Historical economic data come from the DOSE database of sub-national economic output 53 . We use a recent revision to the DOSE dataset that provides data across 83 countries, 1,660 sub-national regions with varying temporal coverage from 1960 to 2019. Sub-national units constitute the first administrative division below national, for example, states for the USA and provinces for China. Data come from measures of gross regional product per capita (GRPpc) or income per capita in local currencies, reflecting the values reported in national statistical agencies, yearbooks and, in some cases, academic literature. We follow previous literature 3 , 7 , 8 , 54 and assess real sub-national output per capita by first converting values from local currencies to US dollars to account for diverging national inflationary tendencies and then account for US inflation using a US deflator. Alternatively, one might first account for national inflation and then convert between currencies. Supplementary Fig. 12 demonstrates that our conclusions are consistent when accounting for price changes in the reversed order, although the magnitude of estimated damages varies. See the documentation of the DOSE dataset for further discussion of these choices. Conversions between currencies are conducted using exchange rates from the FRED database of the Federal Reserve Bank of St. Louis 55 and the national deflators from the World Bank 56 .

Future socio-economic data

Baseline gridded gross domestic product (GDP) and population data for the period 2015–2100 are taken from the middle-of-the-road scenario SSP2 (ref.  15 ). Population data have been downscaled to a half-degree grid by the ISIMIP following the methodologies of refs.  57 , 58 , which we then aggregate to the sub-national level of our economic data using the spatial aggregation procedure described below. Because current methodologies for downscaling the GDP of the SSPs use downscaled population to do so, per-capita estimates of GDP with a realistic distribution at the sub-national level are not readily available for the SSPs. We therefore use national-level GDP per capita (GDPpc) projections for all sub-national regions of a given country, assuming homogeneity within countries in terms of baseline GDPpc. Here we use projections that have been updated to account for the impact of the COVID-19 pandemic on the trajectory of future income, while remaining consistent with the long-term development of the SSPs 59 . The choice of baseline SSP alters the magnitude of projected climate damages in monetary terms, but when assessed in terms of percentage change from the baseline, the choice of socio-economic scenario is inconsequential. Gridded SSP population data and national-level GDPpc data are publicly available from the ISIMIP database. Sub-national estimates as used in this study are available in the code and data replication files.

Climate variables

Following recent literature 3 , 7 , 8 , we calculate an array of climate variables for which substantial impacts on macroeconomic output have been identified empirically, supported by further evidence at the micro level for plausible underlying mechanisms. See refs.  7 , 8 for an extensive motivation for the use of these particular climate variables and for detailed empirical tests on the nature and robustness of their effects on economic output. To summarize, these studies have found evidence for independent impacts on economic growth rates from annual average temperature, daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall. Assessments of daily temperature variability were motivated by evidence of impacts on agricultural output and human health, as well as macroeconomic literature on the impacts of volatility on growth when manifest in different dimensions, such as government spending, exchange rates and even output itself 7 . Assessments of precipitation impacts were motivated by evidence of impacts on agricultural productivity, metropolitan labour outcomes and conflict, as well as damages caused by flash flooding 8 . See Extended Data Table 1 for detailed references to empirical studies of these physical mechanisms. Marked impacts of daily temperature variability, total annual precipitation, the number of wet days and extreme daily rainfall on macroeconomic output were identified robustly across different climate datasets, spatial aggregation schemes, specifications of regional time trends and error-clustering approaches. They were also found to be robust to the consideration of temperature extremes 7 , 8 . Furthermore, these climate variables were identified as having independent effects on economic output 7 , 8 , which we further explain here using Monte Carlo simulations to demonstrate the robustness of the results to concerns of imperfect multicollinearity between climate variables (Supplementary Methods Section  2 ), as well as by using information criteria (Supplementary Table 1 ) to demonstrate that including several lagged climate variables provides a preferable trade-off between optimally describing the data and limiting the possibility of overfitting.

We calculate these variables from the distribution of daily, d , temperature, T x , d , and precipitation, P x , d , at the grid-cell, x , level for both the historical and future climate data. As well as annual mean temperature, \({\bar{T}}_{x,y}\) , and annual total precipitation, P x , y , we calculate annual, y , measures of daily temperature variability, \({\widetilde{T}}_{x,y}\) :

the number of wet days, Pwd x , y :

and extreme daily rainfall:

in which T x , d , m , y is the grid-cell-specific daily temperature in month m and year y , \({\bar{T}}_{x,m,{y}}\) is the year and grid-cell-specific monthly, m , mean temperature, D m and D y the number of days in a given month m or year y , respectively, H the Heaviside step function, 1 mm the threshold used to define wet days and P 99.9 x is the 99.9th percentile of historical (1979–2019) daily precipitation at the grid-cell level. Units of the climate measures are degrees Celsius for annual mean temperature and daily temperature variability, millimetres for total annual precipitation and extreme daily precipitation, and simply the number of days for the annual number of wet days.

We also calculated weighted standard deviations of monthly rainfall totals as also used in ref.  8 but do not include them in our projections as we find that, when accounting for delayed effects, their effect becomes statistically indistinct and is better captured by changes in total annual rainfall.

Spatial aggregation

We aggregate grid-cell-level historical and future climate measures, as well as grid-cell-level future GDPpc and population, to the level of the first administrative unit below national level of the GADM database, using an area-weighting algorithm that estimates the portion of each grid cell falling within an administrative boundary. We use this as our baseline specification following previous findings that the effect of area or population weighting at the sub-national level is negligible 7 , 8 .

Empirical model specification: fixed-effects distributed lag models

Following a wide range of climate econometric literature 16 , 60 , we use panel regression models with a selection of fixed effects and time trends to isolate plausibly exogenous variation with which to maximize confidence in a causal interpretation of the effects of climate on economic growth rates. The use of region fixed effects, μ r , accounts for unobserved time-invariant differences between regions, such as prevailing climatic norms and growth rates owing to historical and geopolitical factors. The use of yearly fixed effects, η y , accounts for regionally invariant annual shocks to the global climate or economy such as the El Niño–Southern Oscillation or global recessions. In our baseline specification, we also include region-specific linear time trends, k r y , to exclude the possibility of spurious correlations resulting from common slow-moving trends in climate and growth.

The persistence of climate impacts on economic growth rates is a key determinant of the long-term magnitude of damages. Methods for inferring the extent of persistence in impacts on growth rates have typically used lagged climate variables to evaluate the presence of delayed effects or catch-up dynamics 2 , 18 . For example, consider starting from a model in which a climate condition, C r , y , (for example, annual mean temperature) affects the growth rate, Δlgrp r , y (the first difference of the logarithm of gross regional product) of region r in year y :

which we refer to as a ‘pure growth effects’ model in the main text. Typically, further lags are included,

and the cumulative effect of all lagged terms is evaluated to assess the extent to which climate impacts on growth rates persist. Following ref.  18 , in the case that,

the implication is that impacts on the growth rate persist up to NL years after the initial shock (possibly to a weaker or a stronger extent), whereas if

then the initial impact on the growth rate is recovered after NL years and the effect is only one on the level of output. However, we note that such approaches are limited by the fact that, when including an insufficient number of lags to detect a recovery of the growth rates, one may find equation ( 6 ) to be satisfied and incorrectly assume that a change in climatic conditions affects the growth rate indefinitely. In practice, given a limited record of historical data, including too few lags to confidently conclude in an infinitely persistent impact on the growth rate is likely, particularly over the long timescales over which future climate damages are often projected 2 , 24 . To avoid this issue, we instead begin our analysis with a model for which the level of output, lgrp r , y , depends on the level of a climate variable, C r , y :

Given the non-stationarity of the level of output, we follow the literature 19 and estimate such an equation in first-differenced form as,

which we refer to as a model of ‘pure level effects’ in the main text. This model constitutes a baseline specification in which a permanent change in the climate variable produces an instantaneous impact on the growth rate and a permanent effect only on the level of output. By including lagged variables in this specification,

we are able to test whether the impacts on the growth rate persist any further than instantaneously by evaluating whether α L  > 0 are statistically significantly different from zero. Even though this framework is also limited by the possibility of including too few lags, the choice of a baseline model specification in which impacts on the growth rate do not persist means that, in the case of including too few lags, the framework reverts to the baseline specification of level effects. As such, this framework is conservative with respect to the persistence of impacts and the magnitude of future damages. It naturally avoids assumptions of infinite persistence and we are able to interpret any persistence that we identify with equation ( 9 ) as a lower bound on the extent of climate impact persistence on growth rates. See the main text for further discussion of this specification choice, in particular about its conservative nature compared with previous literature estimates, such as refs.  2 , 18 .

We allow the response to climatic changes to vary across regions, using interactions of the climate variables with historical average (1979–2019) climatic conditions reflecting heterogenous effects identified in previous work 7 , 8 . Following this previous work, the moderating variables of these interaction terms constitute the historical average of either the variable itself or of the seasonal temperature difference, \({\hat{T}}_{r}\) , or annual mean temperature, \({\bar{T}}_{r}\) , in the case of daily temperature variability 7 and extreme daily rainfall, respectively 8 .

The resulting regression equation with N and M lagged variables, respectively, reads:

in which Δlgrp r , y is the annual, regional GRPpc growth rate, measured as the first difference of the logarithm of real GRPpc, following previous work 2 , 3 , 7 , 8 , 18 , 19 . Fixed-effects regressions were run using the fixest package in R (ref.  61 ).

Estimates of the coefficients of interest α i , L are shown in Extended Data Fig. 1 for N  =  M  = 10 lags and for our preferred choice of the number of lags in Supplementary Figs. 1 – 3 . In Extended Data Fig. 1 , errors are shown clustered at the regional level, but for the construction of damage projections, we block-bootstrap the regressions by region 1,000 times to provide a range of parameter estimates with which to sample the projection uncertainty (following refs.  2 , 31 ).

Spatial-lag model

In Supplementary Fig. 14 , we present the results from a spatial-lag model that explores the potential for climate impacts to ‘spill over’ into spatially neighbouring regions. We measure the distance between centroids of each pair of sub-national regions and construct spatial lags that take the average of the first-differenced climate variables and their interaction terms over neighbouring regions that are at distances of 0–500, 500–1,000, 1,000–1,500 and 1,500–2000 km (spatial lags, ‘SL’, 1 to 4). For simplicity, we then assess a spatial-lag model without temporal lags to assess spatial spillovers of contemporaneous climate impacts. This model takes the form:

in which SL indicates the spatial lag of each climate variable and interaction term. In Supplementary Fig. 14 , we plot the cumulative marginal effect of each climate variable at different baseline climate conditions by summing the coefficients for each climate variable and interaction term, for example, for average temperature impacts as:

These cumulative marginal effects can be regarded as the overall spatially dependent impact to an individual region given a one-unit shock to a climate variable in that region and all neighbouring regions at a given value of the moderating variable of the interaction term.

Constructing projections of economic damage from future climate change

We construct projections of future climate damages by applying the coefficients estimated in equation ( 10 ) and shown in Supplementary Tables 2 – 4 (when including only lags with statistically significant effects in specifications that limit overfitting; see Supplementary Methods Section  1 ) to projections of future climate change from the CMIP-6 models. Year-on-year changes in each primary climate variable of interest are calculated to reflect the year-to-year variations used in the empirical models. 30-year moving averages of the moderating variables of the interaction terms are calculated to reflect the long-term average of climatic conditions that were used for the moderating variables in the empirical models. By using moving averages in the projections, we account for the changing vulnerability to climate shocks based on the evolving long-term conditions (Supplementary Figs. 10 and 11 show that the results are robust to the precise choice of the window of this moving average). Although these climate variables are not differenced, the fact that the bias-adjusted climate models reproduce observed climatological patterns across regions for these moderating variables very accurately (Supplementary Table 6 ) with limited spread across models (<3%) precludes the possibility that any considerable bias or uncertainty is introduced by this methodological choice. However, we impose caps on these moderating variables at the 95th percentile at which they were observed in the historical data to prevent extrapolation of the marginal effects outside the range in which the regressions were estimated. This is a conservative choice that limits the magnitude of our damage projections.

Time series of primary climate variables and moderating climate variables are then combined with estimates of the empirical model parameters to evaluate the regression coefficients in equation ( 10 ), producing a time series of annual GRPpc growth-rate reductions for a given emission scenario, climate model and set of empirical model parameters. The resulting time series of growth-rate impacts reflects those occurring owing to future climate change. By contrast, a future scenario with no climate change would be one in which climate variables do not change (other than with random year-to-year fluctuations) and hence the time-averaged evaluation of equation ( 10 ) would be zero. Our approach therefore implicitly compares the future climate-change scenario to this no-climate-change baseline scenario.

The time series of growth-rate impacts owing to future climate change in region r and year y , δ r , y , are then added to the future baseline growth rates, π r , y (in log-diff form), obtained from the SSP2 scenario to yield trajectories of damaged GRPpc growth rates, ρ r , y . These trajectories are aggregated over time to estimate the future trajectory of GRPpc with future climate impacts:

in which GRPpc r , y =2020 is the initial log level of GRPpc. We begin damage estimates in 2020 to reflect the damages occurring since the end of the period for which we estimate the empirical models (1979–2019) and to match the timing of mitigation-cost estimates from most IAMs (see below).

For each emission scenario, this procedure is repeated 1,000 times while randomly sampling from the selection of climate models, the selection of empirical models with different numbers of lags (shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) and bootstrapped estimates of the regression parameters. The result is an ensemble of future GRPpc trajectories that reflect uncertainty from both physical climate change and the structural and sampling uncertainty of the empirical models.

Estimates of mitigation costs

We obtain IPCC estimates of the aggregate costs of emission mitigation from the AR6 Scenario Explorer and Database hosted by IIASA 23 . Specifically, we search the AR6 Scenarios Database World v1.1 for IAMs that provided estimates of global GDP and population under both a SSP2 baseline and a SSP2-RCP2.6 scenario to maintain consistency with the socio-economic and emission scenarios of the climate damage projections. We find five IAMs that provide data for these scenarios, namely, MESSAGE-GLOBIOM 1.0, REMIND-MAgPIE 1.5, AIM/GCE 2.0, GCAM 4.2 and WITCH-GLOBIOM 3.1. Of these five IAMs, we use the results only from the first three that passed the IPCC vetting procedure for reproducing historical emission and climate trajectories. We then estimate global mitigation costs as the percentage difference in global per capita GDP between the SSP2 baseline and the SSP2-RCP2.6 emission scenario. In the case of one of these IAMs, estimates of mitigation costs begin in 2020, whereas in the case of two others, mitigation costs begin in 2010. The mitigation cost estimates before 2020 in these two IAMs are mostly negligible, and our choice to begin comparison with damage estimates in 2020 is conservative with respect to the relative weight of climate damages compared with mitigation costs for these two IAMs.

Data availability

Data on economic production and ERA-5 climate data are publicly available at https://doi.org/10.5281/zenodo.4681306 (ref. 62 ) and https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 , respectively. Data on mitigation costs are publicly available at https://data.ene.iiasa.ac.at/ar6/#/downloads . Processed climate and economic data, as well as all other necessary data for reproduction of the results, are available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

Code availability

All code necessary for reproduction of the results is available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

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Acknowledgements

We gratefully acknowledge financing from the Volkswagen Foundation and the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the Government of the Federal Republic of Germany and Federal Ministry for Economic Cooperation and Development (BMZ).

Open access funding provided by Potsdam-Institut für Klimafolgenforschung (PIK) e.V.

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Extended data figures and tables

Extended data fig. 1 constraining the persistence of historical climate impacts on economic growth rates..

The results of a panel-based fixed-effects distributed lag model for the effects of annual mean temperature ( a ), daily temperature variability ( b ), total annual precipitation ( c ), the number of wet days ( d ) and extreme daily precipitation ( e ) on sub-national economic growth rates. Point estimates show the effects of a 1 °C or one standard deviation increase (for temperature and precipitation variables, respectively) at the lower quartile, median and upper quartile of the relevant moderating variable (green, orange and purple, respectively) at different lagged periods after the initial shock (note that these are not cumulative effects). Climate variables are used in their first-differenced form (see main text for discussion) and the moderating climate variables are the annual mean temperature, seasonal temperature difference, total annual precipitation, number of wet days and annual mean temperature, respectively, in panels a – e (see Methods for further discussion). Error bars show the 95% confidence intervals having clustered standard errors by region. The within-region R 2 , Bayesian and Akaike information criteria for the model are shown at the top of the figure. This figure shows results with ten lags for each variable to demonstrate the observed levels of persistence, but our preferred specifications remove later lags based on the statistical significance of terms shown above and the information criteria shown in Extended Data Fig. 2 . The resulting models without later lags are shown in Supplementary Figs. 1 – 3 .

Extended Data Fig. 2 Incremental lag-selection procedure using information criteria and within-region R 2 .

Starting from a panel-based fixed-effects distributed lag model estimating the effects of climate on economic growth using the real historical data (as in equation ( 4 )) with ten lags for all climate variables (as shown in Extended Data Fig. 1 ), lags are incrementally removed for one climate variable at a time. The resulting Bayesian and Akaike information criteria are shown in a – e and f – j , respectively, and the within-region R 2 and number of observations in k – o and p – t , respectively. Different rows show the results when removing lags from different climate variables, ordered from top to bottom as annual mean temperature, daily temperature variability, total annual precipitation, the number of wet days and extreme annual precipitation. Information criteria show minima at approximately four lags for precipitation variables and ten to eight for temperature variables, indicating that including these numbers of lags does not lead to overfitting. See Supplementary Table 1 for an assessment using information criteria to determine whether including further climate variables causes overfitting.

Extended Data Fig. 3 Damages in our preferred specification that provides a robust lower bound on the persistence of climate impacts on economic growth versus damages in specifications of pure growth or pure level effects.

Estimates of future damages as shown in Fig. 1 but under the emission scenario RCP8.5 for three separate empirical specifications: in orange our preferred specification, which provides an empirical lower bound on the persistence of climate impacts on economic growth rates while avoiding assumptions of infinite persistence (see main text for further discussion); in purple a specification of ‘pure growth effects’ in which the first difference of climate variables is not taken and no lagged climate variables are included (the baseline specification of ref.  2 ); and in pink a specification of ‘pure level effects’ in which the first difference of climate variables is taken but no lagged terms are included.

Extended Data Fig. 4 Climate changes in different variables as a function of historical interannual variability.

Changes in each climate variable of interest from 1979–2019 to 2035–2065 under the high-emission scenario SSP5-RCP8.5, expressed as a percentage of the historical variability of each measure. Historical variability is estimated as the standard deviation of each detrended climate variable over the period 1979–2019 during which the empirical models were identified (detrending is appropriate because of the inclusion of region-specific linear time trends in the empirical models). See Supplementary Fig. 13 for changes expressed in standard units. Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Extended Data Fig. 5 Contribution of different climate variables to overall committed damages.

a , Climate damages in 2049 when using empirical models that account for all climate variables, changes in annual mean temperature only or changes in both annual mean temperature and one other climate variable (daily temperature variability, total annual precipitation, the number of wet days and extreme daily precipitation, respectively). b , The cumulative marginal effects of an increase in annual mean temperature of 1 °C, at different baseline temperatures, estimated from empirical models including all climate variables or annual mean temperature only. Estimates and uncertainty bars represent the median and 95% confidence intervals obtained from 1,000 block-bootstrap resamples from each of three different empirical models using eight, nine or ten lags of temperature terms.

Extended Data Fig. 6 The difference in committed damages between the upper and lower quartiles of countries when ranked by GDP and cumulative historical emissions.

Quartiles are defined using a population weighting, as are the average committed damages across each quartile group. The violin plots indicate the distribution of differences between quartiles across the two extreme emission scenarios (RCP2.6 and RCP8.5) and the uncertainty sampling procedure outlined in Methods , which accounts for uncertainty arising from the choice of lags in the empirical models, uncertainty in the empirical model parameter estimates, as well as the climate model projections. Bars indicate the median, as well as the 10th and 90th percentiles and upper and lower sixths of the distribution reflecting the very likely and likely ranges following the likelihood classification adopted by the IPCC.

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Kotz, M., Levermann, A. & Wenz, L. The economic commitment of climate change. Nature 628 , 551–557 (2024). https://doi.org/10.1038/s41586-024-07219-0

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One of the reasons academia and government have been edged out of the AI race: the exponential increase in cost of training these giant models. Google’s Gemini Ultra cost an estimated $191 million worth of compute to train, while OpenAI’s GPT-4 cost an estimated $78 million. In comparison, in 2017, the original Transformer model, which introduced the architecture that underpins virtually every modern LLM, cost around $900.

What AI Race?

At least in terms of notable machine learning models, the United States vastly outpaced other countries in 2023, developing a total of 61 models in 2023. Since 2019, the U.S. has consistently led in originating the majority of notable models, followed by China and the UK.

Move Over, Human

As of 2023, AI has hit human-level performance on many significant AI benchmarks, from those testing reading comprehension to visual reasoning. Still, it falls just short on some benchmarks like competition-level math. Because AI has been blasting past so many standard benchmarks, AI scholars have had to create new and more difficult challenges. This year’s index also tracked several of these new benchmarks, including those for tasks in coding, advanced reasoning, and agentic behavior.

Private Investment Drops (But We See You, GenAI)

While AI private investment has steadily dropped since 2021, generative AI is gaining steam. In 2023, the sector attracted $25.2 billion, nearly ninefold the investment of 2022 and about 30 times the amount from 2019 (call it the ChatGPT effect). Generative AI accounted for over a quarter of all AI-related private investments in 2023.

U.S. Wins $$ Race

And again, in 2023 the United States dominates in AI private investment. In 2023, the $67.2 billion invested in the U.S. was roughly 8.7 times greater than the amount invested in the next highest country, China, and 17.8 times the amount invested in the United Kingdom. That lineup looks the same when zooming out: Cumulatively since 2013, the United States leads investments at $335.2 billion, followed by China with $103.7 billion, and the United Kingdom at $22.3 billion.

Where is Corporate Adoption?

More companies are implementing AI in some part of their business: In surveys, 55% of organizations said they were using AI in 2023, up from 50% in 2022 and 20% in 2017. Businesses report using AI to automate contact centers, personalize content, and acquire new customers. 

Younger and Wealthier People Worry About Jobs

Globally, most people expect AI to change their jobs, and more than a third expect AI to replace them. Younger generations — Gen Z and millennials — anticipate more substantial effects from AI compared with older generations like Gen X and baby boomers. Specifically, 66% of Gen Z compared with 46% of boomer respondents believe AI will significantly affect their current jobs. Meanwhile, individuals with higher incomes, more education, and decision-making roles foresee AI having a great impact on their employment.

While the Commonwealth Worries About AI Products

When asked in a survey about whether AI products and services make you nervous, 69% of Aussies and 65% of Brits said yes. Japan is the least worried about their AI products at 23%.  

Regulation Rallies

More American regulatory agencies are passing regulations to protect citizens and govern the use of AI tools and data. For example, the Copyright Office and the Library of Congress passed copyright registration guidance concerning works that contained material generated by AI, while the Securities and Exchange Commission developed a cybersecurity risk management strategy, governance, and incident disclosure plan. The agencies to pass the most regulation were the Executive Office of the President and the Commerce Department. 

The AI Index was first created to track AI development. The index collaborates with such organizations as LinkedIn, Quid, McKinsey, Studyportals, the Schwartz Reisman Institute, and the International Federation of Robotics to gather the most current research and feature important insights on the AI ecosystem. 

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World-first “Cybercrime Index” ranks countries by cybercrime threat level

Following three years of intensive research, an international team of researchers have compiled the first ever ‘World Cybercrime Index’, which identifies the globe’s key cybercrime hotspots by ranking the most significant sources of cybercrime at a national level.

The Index, published today in the journal PLOS ONE , shows that a relatively small number of countries house the greatest cybercriminal threat. Russia tops the list, followed by Ukraine, China, the USA, Nigeria, and Romania. The UK comes in at number eight.

‘The research that underpins the Index will help remove the veil of anonymity around cybercriminal offenders, and we hope that it will aid the fight against the growing threat of profit-driven cybercrime,’ Dr Bruce said.

‘We now have a deeper understanding of the geography of cybercrime, and how different countries specialise in different types of cybercrime.’

‘By continuing to collect this data, we’ll be able to monitor the emergence of any new hotspots and it is possible early interventions could be made in at-risk countries before a serious cybercrime problem even develops.’

The data that underpins the Index was gathered through a survey of 92 leading cybercrime experts from around the world who are involved in cybercrime intelligence gathering and investigations. The survey asked the experts to consider five major categories of cybercrime*, nominate the countries that they consider to be the most significant sources of each of these types of cybercrime, and then rank each country according to the impact, professionalism, and technical skill of its cybercriminals.

Co-author Associate Professor Jonathan Lusthaus , from the University of Oxford’s Department of Sociology and Oxford School of Global and Area Studies, said cybercrime has largely been an invisible phenomenon because offenders often mask their physical locations by hiding behind fake profiles and technical protections.

'Due to the illicit and anonymous nature of their activities, cybercriminals cannot be easily accessed or reliably surveyed. They are actively hiding. If you try to use technical data to map their location, you will also fail, as cybercriminals bounce their attacks around internet infrastructure across the world. The best means we have to draw a picture of where these offenders are actually located is to survey those whose job it is to track these people,' Dr Lusthaus said.

Figuring out why some countries are cybercrime hotspots, and others aren't, is the next stage of the research. There are existing theories about why some countries have become hubs of cybercriminal activity - for example, that a technically skilled workforce with few employment opportunities may turn to illicit activity to make ends meet - which we'll be able to test against our global data set. Dr Miranda Bruce  Department of Sociology, University of Oxford and UNSW Canberra   

Co-author of the study, Professor Federico Varese from Sciences Po in France, said the World Cybercrime Index is the first step in a broader aim to understand the local dimensions of cybercrime production across the world.

‘We are hoping to expand the study so that we can determine whether national characteristics like educational attainment, internet penetration, GDP, or levels of corruption are associated with cybercrime. Many people think that cybercrime is global and fluid, but this study supports the view that, much like forms of organised crime, it is embedded within particular contexts,’ Professor Varese said.

The World Cybercrime Index has been developed as a joint partnership between the University of Oxford and UNSW and has also been funded by CRIMGOV , a European Union-supported project based at the University of Oxford and Sciences Po. The other co-authors of the study include Professor Ridhi Kashyap from the University of Oxford and Professor Nigel Phair from Monash University.

The study ‘Mapping the global geography of cybercrime with the World Cybercrime Index’ has been published in the journal PLOS ONE .

*The five major categories of cybercrime assessed by the study were:

1.   Technical products/services (e.g. malware coding, botnet access, access to compromised systems, tool production).

2.   Attacks and extortion (e.g. denial-of-service attacks, ransomware).

3.   Data/identity theft (e.g. hacking, phishing, account compromises, credit card comprises).

4.   Scams (e.g. advance fee fraud, business email compromise, online auction fraud).

5.   Cashing out/money laundering (e.g. credit card fraud, money mules, illicit virtual currency platforms).

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