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

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)

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)

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)