Machine Learning
We work on algorithms for finding hidden structure in large data sets, using a combination of probabilistic modeling and deep learning, ranging from social media understanding, text mining, and consumer analytics to visual computing and content generation.
Latest Publications
Implicit Bézier Motion Model for Precise Spatial and Temporal Control
December 3, 2025
Motion in Games (2025)
Luca Vögeli (DisneyResearch|Studios)
Dhruv Agrawal (ETH Zurich, DisneyResearch|Studios)
Martin Guay (DisneyResearch|Studios)
Dominik Borer (DisneyResearch|Studios)
Robert Sumner (DisneyResearch|Studios)
Jakob Buhmann (DisneyResearch|Studios)
Synth2Track Editor for Efficient Match-Animation
July 21, 2025
SIGGRAPH (2025)
Jakob Buhmann (DisneyResearch|Studios)
Douglas L. Moore (Industrial Light & Magic)
Dominik Borer (DisneyResearch|Studios)
Martin Guay (DisneyResearch|Studios)
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion
July 16, 2025
SIGGRAPH (2025)
Manuel Kansy (DisneyResearch|Studios/ETH Zurich)
Jacek Naruniec (DisneyResearch|Studios)
Christopher Schroers (DisneyResearch|Studios)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Romann M. Weber (DisneyResearch|Studios)
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
April 23, 2025
ICLR (2025)
Seyedmorteza Sadat (ETH Zurich)
Otmar Hilliges (ETH Zurich)
Romann M. Weber (DisneyResearch|Studios)
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
April 23, 2025
ICLR (2025)
Seyedmorteza Sadat (ETH Zurich)
Manuel Kansy (ETH Zurich)
Otmar Hilliges (ETH Zurich)
Romann M. Weber (DisneyResearch|Studios)
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
December 10, 2024
NIPS (2024)
Seyedmorteza Sadat (ETH Zurich)
Jakob Buhmann (DisneyResearch|Studios)
Derek Bradley (DisneyResearch|Studios)
Otmar Hilliges (ETH Zurich)
Romann M. Weber (DisneyResearch|Studios)