Research
Continuing a legacy of innovation
DisneyResearch|Studios combines the best of academia and industry, by doing fundamental and application-driven research. We publish our work and actively engage with the global research community. Our research applications and technology are experienced by millions of people. We honor Walt Disney’s legacy by deploying our innovations on a global scale.
Our Research Areas
Latest Publications
Neural Render Proxies for Interactive and Differentiable Lighting
July 1, 2026
Eurographics Symposium on Rendering (EGSR) (2026)
Sergio Sancho (ETH Zurich/DisneyResearch|Studios)
Alexander Rath (DisneyResearch|Studios)
Marco Manzi (DisneyResearch|Studios)
Pascal Chang (ETH Zurich/DisneyResearch|Studios)
Amit H. Bermano (ETH Zurich/DisneyResearch|Studios/Tel Aviv University)
Derek Nowrouzezahrai (McGill University/Mila – Quebec AI Institute/CIFAR AI Chair)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Marios Papas (DisneyResearch|Studios)
Illumination-Aware Spatial Subdivision for Path Guiding
July 1, 2026
Eurographics Symposium on Rendering (EGSR) (2026)
Fengshi Zheng (Delft University of Technology)
Christoph Peters (Delft University of Technology)
Sebastian Herholz (Blender Institute)
Marco Manzi (DisneyResearch|Studios)
Elmar Eisemann (Delft University of Technology)
Neural Material Adapter: Transforming Complex Materials into Efficient Analytic BSDFs
July 1, 2026
Eurographics Symposium on Rendering (EGSR) (2026)
Rajesh Sharma (ETH Zurich/DisneyResearch|Studios)
Tiziano Portenier (DisneyResearch|Studios)
Sebastian Weiss (DisneyResearch|Studios)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Marios Papas (DisneyResearch|Studios)
What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models
May 31, 2026
CVPR (2026)
Pascal Chang (ETH Zurich/DisneyResearch|Studios)
Kai Lascheit (ETH Zurich/DisneyResearch|Studios)
Jingwei Tang (DisneyResearch|Studios)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Vinicius Azevedo (DisneyResearch|Studios)
RenderFlow: Single-Step Neural Rendering via Flow Matching
May 31, 2026
CVPR (2026)
Shenghao Zhang (ETH Zurich/DisneyResearch|Studios)
Runtao Liu (DisneyResearch|Studios)
Christopher Schroers (DisneyResearch|Studios)
Yang Zhang (DisneyResearch|Studios)
Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
May 31, 2026
CVPR (2026)
Karlis Martins Briedis (ETH Zurich/DisneyResearch|Studios)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Christopher Schroers (DisneyResearch|Studios)







