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.
Looking for graduate students!
I am looking for graduate students to join my lab at MIT in July 2023. If you want to push what's
possible with neural scene representations, inverse graphics and neural rendering
and apply them to problems across computer vision, graphics, and robotics, please apply
deadline is December 15th 2022!
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon,
William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, 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