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Zhengqi Li
Zhengqi Li
Google research
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Megadepth: Learning single-view depth prediction from internet photos
Z Li, N Snavely
Proceedings of the IEEE conference on computer vision and pattern …, 2018
9312018
Neural scene flow fields for space-time view synthesis of dynamic scenes
Z Li, S Niklaus, N Snavely, O Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
5152021
Learning the depths of moving people by watching frozen people
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2442019
Learning intrinsic image decomposition from watching the world
Z Li, N Snavely
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1642018
Cgintrinsics: Better intrinsic image decomposition through physically-based rendering
Z Li, N Snavely
Proceedings of the European conference on computer vision (ECCV), 371-387, 2018
1502018
Crowdsampling the plenoptic function
Z Li, W Xian, A Davis, N Snavely
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
662020
Neural 3d reconstruction in the wild
J Sun, X Chen, Q Wang, Z Li, H Averbuch-Elor, X Zhou, N Snavely
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
642022
Iron: Inverse rendering by optimizing neural sdfs and materials from photometric images
K Zhang, F Luan, Z Li, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
622022
Dynibar: Neural dynamic image-based rendering
Z Li, Q Wang, F Cole, R Tucker, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
572023
Large scale image mosaic construction for agricultural applications
Z Li, V Isler
IEEE Robotics and Automation Letters 1 (1), 295-302, 2016
552016
Deformable sprites for unsupervised video decomposition
V Ye, Z Li, R Tucker, A Kanazawa, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
432022
UprightNet: geometry-aware camera orientation estimation from single images
W Xian, Z Li, M Fisher, J Eisenmann, E Shechtman, N Snavely
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
362019
Infinitenature-zero: Learning perpetual view generation of natural scenes from single images
Z Li, Q Wang, N Snavely, A Kanazawa
European Conference on Computer Vision, 515-534, 2022
312022
Tracking Everything Everywhere All at Once
Q Wang, YY Chang, R Cai, Z Li, B Hariharan, A Holynski, N Snavely
arXiv preprint arXiv:2306.05422, 2023
282023
MannequinChallenge: Learning the depths of moving people by watching frozen people
Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4229 …, 2020
182020
Generative image dynamics
Z Li, R Tucker, N Snavely, A Holynski
arXiv preprint arXiv:2309.07906, 2023
142023
Structure and motion from casual videos
Z Zhang, F Cole, Z Li, M Rubinstein, N Snavely, WT Freeman
European Conference on Computer Vision, 20-37, 2022
122022
3D moments from near-duplicate photos
Q Wang, Z Li, D Salesin, N Snavely, B Curless, J Kontkanen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
Persistent Nature: A Generative Model of Unbounded 3D Worlds
L Chai, R Tucker, Z Li, P Isola, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Depth determination for images captured with a moving camera and representing moving features
T Dekel, C Forrester, C Liu, W Freeman, R Tucker, N Snavely, Z Li
US Patent 11,315,274, 2022
52022
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