Li, Zhengqi

24 publications

ICLR 2026 Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models Bowei Chen, Sai Bi, Hao Tan, He Zhang, Tianyuan Zhang, Zhengqi Li, Yuanjun Xiong, Jianming Zhang, Kai Zhang

ICLR 2026 MotionStream: Real-Time Video Generation with Interactive Motion Controls Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Shechtman, Xun Huang

CVPR 2025 Can Generative Video Models Help Pose Estimation? Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla

CVPR 2025 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

NeurIPS 2025 Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman

ICCV 2025 Shape of Motion: 4D Reconstruction from a Single Video Qianqian Wang, Vickie Ye, Hang Gao, Weijia Zeng, Jake Austin, Zhengqi Li, Angjoo Kanazawa

CVPR 2025 Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski

CVPR 2024 Generative Image Dynamics Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski

CVPR 2023 DynIBaR: Neural Dynamic Image-Based Rendering Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely

CVPR 2023 Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole

CVPR 2023 Persistent Nature: A Generative Model of Unbounded 3D Worlds Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely

ICCV 2023 Tracking Everything Everywhere All at Once Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely

CVPR 2022 3D Moments from Near-Duplicate Photos Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen

CVPR 2022 Deformable Sprites for Unsupervised Video Decomposition Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely

CVPR 2022 IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely

ECCV 2022 InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa

ECCV 2022 Structure and Motion from Casual Videos Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman

CVPR 2021 Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang

ECCV 2020 Crowdsampling the Plenoptic Function Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely

CVPR 2019 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

ICCV 2019 UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely

ECCV 2018 CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering Zhengqi Li, Noah Snavely

CVPR 2018 Learning Intrinsic Image Decomposition from Watching the World Zhengqi Li, Noah Snavely

CVPR 2018 MegaDepth: Learning Single-View Depth Prediction from Internet Photos Zhengqi Li, Noah Snavely