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

Generalized Audio-Driven Synthesis of Precise Drummer Motion

August 18, 2026
arXiv (2026)

Álvaro G. Iñesta (DisneyResearch|Studios)
Mattia Ryffel (DisneyResearch|Studios)
Amit H. Bermano (DisneyResearch|Studios/The Blavatnik School of Computer Science and AI, Tel-Aviv University/ETH Zurich)
Robert W. Sumner (DisneyResearch|Studios/ETH Zurich)
Martin Guay (DisneyResearch|Studios)

Interactive Generative Motion Editing via Scheduled Inpainting

Two2Four: Generative Quadruped Puppeteering from Human Motion

July 30, 2026
arXiv (2026)

Fatemeh Zargarbashi (DisneyResearch|Studios/ETH Zurich)
Zehong Qiu (DisneyResearch|Studios)
Dhruv Agrawal (DisneyResearch|Studios/ETH Zurich)
Stelian Coros (ETH Zurich)
Robert W. Sumner (DisneyResearch|Studios/ETH Zurich)
Martin Guay (DisneyResearch|Studios)
Jakob Buhmann (DisneyResearch|Studios)

SmoothMotionVectors: Optimizing Your Content for Video Codecs in Free View Video Compression

July 16, 2026
SIGGRAPH (2026)

Mingyang Song (DisneyResearch|Studios/ETH Zurich)
Yang Zhang (DisneyResearch|Studios)
Siyu Tang (ETH Zurich)
Tunç Ozan Aydin (DisneyResearch|Studios)

2D Gaussian Splatting for Bézier Spline Line Art Vectorization

July 16, 2026
SIGGRAPH (2026)

Tianhao Chen (DisneyResearch|Studios/ETH Zurich)
Clara Fernandez (DisneyResearch|Studios)
Marteinn Oskarsson (Walt Disney Animation Studios)
Chuck Tappan (Walt Disney Animation Studios)
Olga Sorkine-Hornung (ETH Zurich)
Markus Gross (DisneyResearch|Studios/ETH Zurich)
Christopher Schroers (DisneyResearch|Studios)
Abdelaziz Djelouah (DisneyResearch|Studios)

Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

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