I am an Assistant Professor at MIT EECS, where I am leading the
Scene Representation Group. Previously, I did my Ph.D. at Stanford University
as well as a Postdoc at MIT CSAIL.
My research interest lies in neural scene representations - the way neural networks learn to represent information on our world.
My goal is to allow independent agents to reason about our world given visual observations,
such as inferring a complete model of a scene with information on geometry, material, lighting etc.
from only few observations, a task that is simple for humans, but currently impossible for AI.
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Ayush Tewari*, Tianwei Yin*, George Cazenavette, Joshua B. Tenenbaum, Fredo Durand, William T. Freeman, Vincent Sitzmann
Computer Graphics Forum 2020 - EG 2020 (STAR Report)
Ayush Tewari*, Ohad Fried*, Justus Thies*, Vincent Sitzmann*, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer