Noah Snavely—Cornell Computer Science, Cornell Tech (original) (raw)

Noah is a Professor ofComputer Science at Cornell Tech interested in computer vision and computer graphics, and a member of the Cornell Graphics and Vision Group. He also works at Google DeepMind in NYC. His research interests are in computer vision and graphics, in particular in 3D understanding and depiction of scenes from images. Noah is the recipient of a PECASE, a Microsoft New Faculty Fellowship, an Alfred P. Sloan Fellowship, and a SIGGRAPH Significant New Researcher Award, and is a Fellow of the ACM and the IEEE.

For a quick overview of my interests, see my TR35 talk. View my CV.

MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos MegaSaM Zhengqi Li,Tucker,Cole,Wang,Jin,Ye,Kanazawa,Holynski, Snavely CVPR 2025 [www,pdf,code]
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias Large View Synthesis Model Haian Jin,Hanwen Jiang,Hao Tan,Kai Zhang,Sai Bi,Tianyuan Zhang,Fujun Luan, Noah Snavely,Zexiang Xu ICLR 2025 [www,pdf,code]
Neural Gaffer Neural Gaffer Haian Jin,Yuan Li,Fujun Luan,Yuanbo Xiangli,Sai Bi,Kai Zhang,Zexiang Xu,Jin Sun, Noah Snavely NeurIPS 2024 [www,pdf,code]
Doppelgangers: Learning to Disambiguate Images of Similar Structures WonderJourney Koven Yu,Haoyi Duan,Junhwa Hur,Kyle Sargent,Michael Rubinstein,Bill Freeman,Forrester Cole,Deqing Sun, Noah Snavely,Jiajun Wu,Charles Herrmann CVPR 2024 [www,pdf,code]
DeepStereo: Learning to Predict New                              Views from the World's Imagery DeepStereo John Flynn, Ivan Neulander, James Philbin, Noah Snavely (Google) CVPR 2016 [video,pdf]