Zhengqi Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Can Generative Video Models Help Pose Estimation? | Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla |
| 2025 | CVPR | Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. | Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski |
| 2025 | CVPR | MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos. | Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely |
| 2025 | ICCV | Shape of Motion: 4D Reconstruction From a Single Video. | Qianqian Wang, Vickie Ye, Hang Gao, Weijia Zeng, Jake Austin, Zhengqi Li, Angjoo Kanazawa |
| 2024 | CVPR | Generative Image Dynamics. | Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski |
| 2024 | SIGGRAPH | Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. | Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein |
| 2023 | CVPR | Persistent Nature: A Generative Model of Unbounded 3D Worlds. | Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely |
| 2023 | CVPR | DynIBaR: Neural Dynamic Image-Based Rendering. | Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely |
| 2023 | CVPR | Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. | Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole |
| 2023 | ICCV | Tracking Everything Everywhere All at Once. | Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely |
| 2022 | CVPR | 3D Moments from Near-Duplicate Photos. | Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen |
| 2022 | CVPR | Deformable Sprites for Unsupervised Video Decomposition. | Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely |
| 2022 | CVPR | IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. | Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely |
| 2022 | ECCV | InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. | Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa |
| 2022 | ECCV | Structure and Motion from Casual Videos. | Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman |
| 2022 | SIGGRAPH | Neural 3D Reconstruction in the Wild. | Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely |
| 2021 | CVPR | Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. | Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang |
| 2020 | ECCV | Crowdsampling the Plenoptic Function. | Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely |
| 2019 | CVPR | Learning the Depths of Moving People by Watching Frozen People. | Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman |
| 2019 | ICCV | UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. | Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman |
| 2018 | CVPR | MegaDepth: Learning Single-View Depth Prediction From Internet Photos. | Zhengqi Li, Noah Snavely |
| 2018 | CVPR | Learning Intrinsic Image Decomposition From Watching the World. | Zhengqi Li, Noah Snavely |
| 2018 | ECCV | CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering. | Zhengqi Li, Noah Snavely |
| 2016 | INDIN | Classifying vehicles with convolutional neural network and feature encoding. | Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li |