Zhengqi Li

54 papers A* 16C 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causality in Video Diffusers is Separable from Denoising.
CoRR
Xingjian Bai, Guande He, Zhengqi Li, Eli Shechtman, Xun Huang, Zongze Wu
2025 J jnl
Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models.
CoRR
Bowei Chen, Sai Bi, Hao Tan, He Zhang, Tianyuan Zhang, Zhengqi Li, Yuanjun Xiong, Jianming Zhang, Kai Zhang
2025 A* conf
Can Generative Video Models Help Pose Estimation?
CVPR
Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla
2025 J jnl
Generative Video Motion Editing with 3D Point Tracks.
CoRR
Yao-Chih Lee, Zhoutong Zhang, Jiahui Huang, Jui-Hsien Wang, Joon-Young Lee, Jia-Bin Huang, Eli Shechtman, Zhengqi Li
2025 A* conf
MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos.
CVPR
Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely
2025 J jnl
MotionStream: Real-Time Video Generation with Interactive Motion Controls.
CoRR
Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Schechtman, Xun Huang
2025 J jnl
RELIC: Interactive Video World Model with Long-Horizon Memory.
CoRR
Yicong Hong, Yiqun Mei, Chongjian Ge, Yiran Xu, Yang Zhou, Sai Bi, Yannick Hold-Geoffroy, Mike Roberts, Matthew Fisher, Eli Shechtman, Kalyan Sunkavalli, Feng Liu, Zhengqi Li, Hao Tan
2025 J jnl
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
CoRR
Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman
2025 J jnl
Self-Evaluation Unlocks Any-Step Text-to-Image Generation.
CoRR
Xin Yu, Xiaojuan Qi, Zhengqi Li, Kai Zhang, Richard Zhang, Zhe Lin, Eli Shechtman, Tianyu Wang, Yotam Nitzan
2025 A* conf
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.
CVPR
Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski
2024 J jnl
Can Generative Video Models Help Pose Estimation?
CoRR
Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla
2024 A* conf
Generative Image Dynamics.
CVPR
Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
2024 J jnl
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos.
CoRR
Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely
2024 J jnl
Shape of Motion: 4D Reconstruction from a Single Video.
CoRR
Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa
2024 J jnl
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.
CoRR
Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski
2024 — conf
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion.
SIGGRAPH (Conference Paper Track)
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
2024 J jnl
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion.
CoRR
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
2023 A* conf
DynIBaR: Neural Dynamic Image-Based Rendering.
CVPR
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
2023 J jnl
Generative Image Dynamics.
CoRR
Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
2023 A* conf
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video.
CVPR
Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole
2023 A* conf
Persistent Nature: A Generative Model of Unbounded 3D Worlds.
CVPR
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2023 J jnl
Persistent Nature: A Generative Model of Unbounded 3D Worlds.
CoRR
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2023 A* conf
Tracking Everything Everywhere All at Once.
ICCV
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
2023 J jnl
Tracking Everything Everywhere All at Once.
CoRR
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
2022 A* conf
3D Moments from Near-Duplicate Photos.
CVPR
Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen
2022 J jnl
3D Moments from Near-Duplicate Photos.
CoRR
Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen
2022 A* conf
Deformable Sprites for Unsupervised Video Decomposition.
CVPR
Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
2022 J jnl
Deformable Sprites for Unsupervised Video Decomposition.
CoRR
Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
2022 J jnl
DynIBaR: Neural Dynamic Image-Based Rendering.
CoRR
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
2022 A* conf
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images.
CVPR
Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely
2022 J jnl
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images.
CoRR
Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely
2022 — conf
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images.
ECCV (1)
Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa
2022 J jnl
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images.
CoRR
Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa
2022 — conf
Neural 3D Reconstruction in the Wild.
SIGGRAPH (Conference Paper Track)
Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely
2022 J jnl
Neural 3D Reconstruction in the Wild.
CoRR
Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely
2022 — conf
Structure and Motion from Casual Videos.
ECCV (33)
Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman
2021 — —
Learning Geometry, Appearance and Motion in the Wild.
Zhengqi Li
2021 J jnl
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2021 A* conf
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes.
CVPR
Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang
2020 — conf
Crowdsampling the Plenoptic Function.
ECCV (1)
Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely
2020 J jnl
Crowdsampling the Plenoptic Function.
CoRR
Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely
2020 J jnl
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes.
CoRR
Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang
2019 A* conf
Learning the Depths of Moving People by Watching Frozen People.
CVPR
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2019 J jnl
Learning the Depths of Moving People by Watching Frozen People.
CoRR
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2019 A* conf
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images.
ICCV
Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman
2019 J jnl
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images.
CoRR
Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely
2018 — conf
CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering.
ECCV (3)
Zhengqi Li, Noah Snavely
2018 J jnl
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering.
CoRR
Zhengqi Li, Noah Snavely
2018 A* conf
Learning Intrinsic Image Decomposition From Watching the World.
CVPR
Zhengqi Li, Noah Snavely
2018 J jnl
Learning Intrinsic Image Decomposition from Watching the World.
CoRR
Zhengqi Li, Noah Snavely
2018 A* conf
MegaDepth: Learning Single-View Depth Prediction From Internet Photos.
CVPR
Zhengqi Li, Noah Snavely
2018 J jnl
MegaDepth: Learning Single-View Depth Prediction from Internet Photos.
CoRR
Zhengqi Li, Noah Snavely
2016 C conf
Classifying vehicles with convolutional neural network and feature encoding.
INDIN
Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li
2016 J jnl
Large Scale Image Mosaic Construction for Agricultural Applications.
IEEE Robotics Autom. Lett.
Zhengqi Li, Volkan Isler