| Megadepth: Learning single-view depth prediction from internet photos Z Li, N Snavely Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1569 | 2018 |
| 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 | 1040 | 2021 |
| 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 | 315 | 2023 |
| 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 | 295 | 2019 |
| Tracking everything everywhere all at once Q Wang, YY Chang, R Cai, Z Li, B Hariharan, A Holynski, N Snavely Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 254 | 2023 |
| Learning intrinsic image decomposition from watching the world Z Li, N Snavely Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 219 | 2018 |
| 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 | 210 | 2018 |
| Shape of motion: 4d reconstruction from a single video Q Wang, V Ye, H Gao, J Austin, Z Li, A Kanazawa arXiv preprint arXiv:2407.13764, 2024 | 158 | 2024 |
| 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 | 154 | 2022 |
| 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 | 148 | 2022 |
| MegaSaM: Accurate, fast and robust structure and motion from casual dynamic videos Z Li, R Tucker, F Cole, Q Wang, L Jin, V Ye, A Kanazawa, A Holynski, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 10486 …, 2025 | 111 | 2025 |
| Generative image dynamics Z Li, R Tucker, N Snavely, A Holynski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 110 | 2024 |
| Crowdsampling the plenoptic function Z Li, W Xian, A Davis, N Snavely European Conference on Computer Vision, 178-196, 2020 | 92 | 2020 |
| 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 | 91 | 2022 |
| 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 | 90 | 2022 |
| 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 | 89 | 2022 |
| Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion X Huang, Z Li, G He, M Zhou, E Shechtman arXiv preprint arXiv:2506.08009, 2025 | 88 | 2025 |
| 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 | 63 | 2019 |
| Large scale image mosaic construction for agricultural applications Z Li, V Isler IEEE Robotics and Automation Letters 1 (1), 295-302, 2016 | 61 | 2016 |
| 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 | 49 | 2023 |
Noah SnavelyCornell University and Google DeepMindVerified email at cs.cornell.edu
