R
Rohit Pandey
Researcher at Google
Publications - 77
Citations - 1813
Rohit Pandey is an academic researcher from Google. The author has contributed to research in topics: Rendering (computer graphics) & Augmented reality. The author has an hindex of 17, co-authored 69 publications receiving 985 citations. Previous affiliations of Rohit Pandey include Graphic Era Hill University & University at Buffalo.
Papers
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Journal ArticleDOI
State of the Art on Neural Rendering
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 +18 more
TL;DR: Neural rendering as discussed by the authors is a new and rapidly emerging field that combines generative machine learning techniques with physical knowledge from computer graphics, e.g., by the integration of differentiable rendering into network training.
Proceedings ArticleDOI
Neural Rerendering in the Wild
Moustafa Meshry,Dan B. Goldman,Sameh Khamis,Hugues Hoppe,Rohit Pandey,Noah Snavely,Ricardo Martin-Brualla +6 more
TL;DR: This work applies traditional 3D reconstruction to register the photos and approximate the scene as a point cloud from Internet photos of a tourist landmark, and trains a deep neural network to learn the mapping of these initial renderings to the actual photos.
Proceedings ArticleDOI
Advances in neural rendering
Ayush Tewari,Ohad Fried,Justus Thies,Vincent Sitzmann,Stephen Lombardi,Zexiang Xu,Tomas Simon,Matthias Nießner,Edgar Tretschk,Lingjie Liu,Ben Mildenhall,Pratul P. Srinivasan,Rohit Pandey,Sergio Orts-Escolano,Sean Fanello,M. Guo,Gordon Wetzstein,Jun-Yan Zhu,Christian Theobalt,Maneesh Agrawala,Dan B. Goldman,Michael Zollhöfer +21 more
TL;DR: Loss functions for Neural Rendering Jun-Yan Zhu shows the importance of knowing the number of neurons in the system and how many neurons are firing at the same time.
Posted Content
State of the Art on Neural Rendering
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 +18 more
TL;DR: This state‐of‐the‐art report summarizes the recent trends and applications of neural rendering and focuses on approaches that combine classic computer graphics techniques with deep generative models to obtain controllable and photorealistic outputs.
Journal ArticleDOI
LookinGood: enhancing performance capture with real-time neural re-rendering
Ricardo Martin-Brualla,Rohit Pandey,Shuoran Yang,Pavel Pidlypenskyi,Jonathan Taylor,Julien Valentin,Sameh Khamis,Philip Davidson,Anastasia Tkach,Peter Lincoln,Adarsh Kowdle,Christoph Rhemann,Dan B. Goldman,Cem Keskin,Steve Seitz,Shahram Izadi,Sean Fanello +16 more
TL;DR: The novel approach to augment such real-time performance capture systems with a deep architecture that takes a rendering from an arbitrary viewpoint, and jointly performs completion, super resolution, and denoising of the imagery in real- time is taken.