Zhengqi Li

According to our database, Zhengqi Li authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Can Generative Video Models Help Pose Estimation?

Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla

CoRR, 2024

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.

Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski

CoRR, 2024

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

CoRR, 2024

Shape of Motion: 4D Reconstruction from a Single Video.

Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa

CoRR, 2024

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion.

Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Generative Image Dynamics.

Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Tracking Everything Everywhere All at Once.

Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video.

Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DynIBaR: Neural Dynamic Image-Based Rendering.

Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Persistent Nature: A Generative Model of Unbounded 3D Worlds.

Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural 3D Reconstruction in the Wild.

Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Structure and Motion from Casual Videos.

Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman

Proceedings of the Computer Vision - ECCV 2022, 2022

InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images.

Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa

Proceedings of the Computer Vision - ECCV 2022, 2022

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images.

Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deformable Sprites for Unsupervised Video Decomposition.

Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

3D Moments from Near-Duplicate Photos.

Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Geometry, Appearance and Motion in the Wild.

Zhengqi Li

PhD thesis, 2021

MannequinChallenge: 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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes.

Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Crowdsampling the Plenoptic Function.

Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images.

Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering.

Zhengqi Li, Noah Snavely

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Intrinsic Image Decomposition From Watching the World.

Zhengqi Li, Noah Snavely

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MegaDepth: Learning Single-View Depth Prediction From Internet Photos.

Zhengqi Li, Noah Snavely

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Large Scale Image Mosaic Construction for Agricultural Applications.

Zhengqi Li, Volkan Isler

IEEE Robotics Autom. Lett., 2016

Classifying vehicles with convolutional neural network and feature encoding.

Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016