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Zhengqi Li
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Books and Theses
- 2021
- [b1]Zhengqi Li:
Learning Geometry, Appearance and Motion in the Wild. Cornell University, USA, 2021
Journal Articles
- 2021
- [j2]Zhengqi Li
, Tali Dekel, Forrester Cole, Richard Tucker
, Noah Snavely, Ce Liu, William T. Freeman:
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4229-4241 (2021) - 2016
- [j1]Zhengqi Li, Volkan Isler:
Large Scale Image Mosaic Construction for Agricultural Applications. IEEE Robotics Autom. Lett. 1(1): 295-302 (2016)
Conference and Workshop Papers
- 2024
- [c19]Boyang Deng
, Richard Tucker
, Zhengqi Li
, Leonidas J. Guibas
, Noah Snavely
, Gordon Wetzstein
:
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. SIGGRAPH (Conference Paper Track) 2024: 27 - 2023
- [c18]Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole:
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. CVPR 2023: 630-639 - [c17]Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely:
DynIBaR: Neural Dynamic Image-Based Rendering. CVPR 2023: 4273-4284 - [c16]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR 2023: 20863-20874 - [c15]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. ICCV 2023: 19738-19749 - 2022
- [c14]Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CVPR 2022: 2647-2656 - [c13]Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen:
3D Moments from Near-Duplicate Photos. CVPR 2022: 3896-3905 - [c12]Kai Zhang, Fujun Luan
, Zhengqi Li, Noah Snavely:
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. CVPR 2022: 5555-5564 - [c11]Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman:
Structure and Motion from Casual Videos. ECCV (33) 2022: 20-37 - [c10]Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa:
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. ECCV (1) 2022: 515-534 - [c9]Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely:
Neural 3D Reconstruction in the Wild. SIGGRAPH (Conference Paper Track) 2022: 26:1-26:9 - 2021
- [c8]Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. CVPR 2021: 6498-6508 - 2020
- [c7]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. ECCV (1) 2020: 178-196 - 2019
- [c6]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CVPR 2019: 4521-4530 - [c5]Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman:
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. ICCV 2019: 9973-9982 - 2018
- [c4]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction From Internet Photos. CVPR 2018: 2041-2050 - [c3]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition From Watching the World. CVPR 2018: 9039-9048 - [c2]Zhengqi Li
, Noah Snavely
:
CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering. ECCV (3) 2018: 381-399 - 2016
- [c1]Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li:
Classifying vehicles with convolutional neural network and feature encoding. INDIN 2016: 784-787
Informal and Other Publications
- 2024
- [i18]Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein:
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. CoRR abs/2407.13759 (2024) - [i17]Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa:
Shape of Motion: 4D Reconstruction from a Single Video. CoRR abs/2407.13764 (2024) - 2023
- [i16]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR abs/2303.13515 (2023) - [i15]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. CoRR abs/2306.05422 (2023) - [i14]Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski:
Generative Image Dynamics. CoRR abs/2309.07906 (2023) - 2022
- [i13]Kai Zhang, Fujun Luan
, Zhengqi Li, Noah Snavely:
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. CoRR abs/2204.02232 (2022) - [i12]Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CoRR abs/2204.07151 (2022) - [i11]Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen:
3D Moments from Near-Duplicate Photos. CoRR abs/2205.06255 (2022) - [i10]Jiaming Sun
, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely:
Neural 3D Reconstruction in the Wild. CoRR abs/2205.12955 (2022) - [i9]Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa:
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. CoRR abs/2207.11148 (2022) - [i8]Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely:
DynIBaR: Neural Dynamic Image-Based Rendering. CoRR abs/2211.11082 (2022) - 2020
- [i7]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. CoRR abs/2007.15194 (2020) - [i6]Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. CoRR abs/2011.13084 (2020) - 2019
- [i5]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CoRR abs/1904.11111 (2019) - [i4]Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely:
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images. CoRR abs/1908.07070 (2019) - 2018
- [i3]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition from Watching the World. CoRR abs/1804.00582 (2018) - [i2]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction from Internet Photos. CoRR abs/1804.00607 (2018) - [i1]Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering. CoRR abs/1808.08601 (2018)
Coauthor Index
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