Visual Computing
We strive to improve Disney’s production pipelines and creative processes, expanding the designer’s toolbox in terms of rendering, animation, capture, stylization, interaction, and efficiency. Our technology allows designers to tell their story. We also develop algorithms to better understand our audiences and create new modes of interaction.
Latest Publications
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)
Guardians of the Hair: Rescuing Soft Boundaries in Depth, Stereo, and Novel Views
May 31, 2026
CVPR (2026)
Xiang Zhang (ETH Zurich/DisneyResearch|Studios)
Yang Zhang (DisneyResearch|Studios)
Lukas Mehl (DisneyResearch|Studios)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Christopher Schroers (DisneyResearch|Studios)
RelightAnyone: A Generalized Relightable 3D Gaussian Head Model
May 31, 2026
CVPR (2026)
Yingyan Xu (ETH Zurich, DisneyResearch|Studios)
Pramod Rao (Max Plank Institute for Informatics, SIC)
Sebastian Weiss (DisneyResearch|Studios)
Gaspard Zoss (DisneyResearch|Studios)
Markus Gross (ETH Zurich, DisneyResearch|Studios)
Christian Theobalt (Max Plank Institute for Informatics, SIC)
Marc Habermann (Max Plank Institute for Informatics, SIC)
Derek Bradley (DisneyResearch|Studios)
HIGS: History-Guided Sampling for Diffusion Models
April 22, 2026
ICLR (2026)
Seyedmorteza Sadat (ETH Zurich)
Farnood Salehi (DisneyResearch|Studios)
Romann M. Weber (DisneyResearch|Studios)