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
Lossy Image Compression with Normalizing Flows
May 8, 2021
Neural Compression Workshop @ ICLR (2021)
Leonhard Helminger (DisneyResearch|Studios/ETH Joint PhD) Abdelaziz Djelouah (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Christopher Schroers (DisneyResearch|Studios)
Robust Image Denoising using Kernel Predicting Networks
May 3, 2021
Eurographics 2021
Zhilin Cai (DisneyResearch|Studios/ETH Joint M.Sc.) Yang Zhang (DisneyResearch|Studios) Marco Manzi (DisneyResearch|Studios) Cengiz Oztireli (DisneyResearch|Studios) Markus Gross (DisneyResearch|Studios/ETH Zurich) Tunc Aydin (DisneyResearch|Studios)
Deep HDR estimation with generative detail reconstruction
May 3, 2021
Eurographics 2021
Yang Zhang (DisneyResearch|Studios) Tunc Aydin (DisneyResearch|Studios)
Deep Deinterlacing
November 10, 2020
SMPTE Annual Technical Conference & Exhibition (2020)
Michael Bernasconi (DisneyResearch|Studios) Abdelaziz Djelouah (DisneyResearch|Studios) Sally Hattori (The Walt Disney Studios) Christopher Schroers (DisneyResearch|Studios)
Rig-space Neural Rendering
Marc 24,
2020arxiv.org
Dominik Borer (DisneyResearch|Studios/ETH Joint PhD) Lu Yuhang (ETH Zurich) Laura Wuelfroth (ETH Zurich) Jakob Buhmann (DisneyResearch|Studios) Martin Guay (DisneyResearch|Studios)
Deep Generative Video Compression
November 4, 2019
NeurIPS 2019
Jun Han (Dartmouth College) Salvator Lombardo (Disney Research LA) Christopher Schroers (DisneyResearch|Studios) Stephan Mandt (University of California, Irvine)