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

Semantic Deep Face Models

November 25, 2020
3D International Conference on 3D Vision (3DV) (2020)

Prashanth Chandran (DisneyResearch|Studios/ETH Joint PhD), Derek Bradley (DisneyResearch|Studios), Markus Gross (DisneyResearch|Studios/ETH Zurich), Thabo Beeler (DisneyResearch|Studios)

Interactive Sculpting of Digital Faces Using an Anatomical Modeling Paradigm

July 6, 2020
Eurographics Symposium on Geometry Processing (2020)

Aurel Gruber (DisneyResearch|Studios/ETH Joint M.Sc.) Marco Fratarcangeli (Chalmers University of Technology/DisneyResearch|Studios) Gaspard Zoss (DisneyResearch|Studios/ETH Joint PhD) Roman Cattaneo (DisneyResearch|Studios) Thabo Beeler (DisneyResearch|Studios) Markus Gross (Disney Research/ETH Zurich) Derek Bradley (DisneyResearch|Studios)

High-Resolution Neural Face Swapping for Visual Effects

June 29, 2020
Eurographics Symposium on Rendering (2020)

Jacek Naruniec (DisneyResearch|Studios) Leonhard Helminger (DisneyResearch|Studios/ETH Joint PhD) Christopher Schroers (DisneyResearch|Studios) Romann M. Weber (DisneyResearch|Studios)