| A closed-form solution to photorealistic image stylization Y Li, MY Liu, X Li, MH Yang, J Kautz Proceedings of the European conference on computer vision (ECCV), 453-468, 2018 | 412 | 2018 |
| Learning linear transformations for fast image and video style transfer X Li, S Liu, J Kautz, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 195 | 2019 |
| Joint-task self-supervised learning for temporal correspondence X Li, S Liu, S De Mello, X Wang, J Kautz, MH Yang Advances in Neural Information Processing Systems 32, 2019 | 131 | 2019 |
| Self-supervised single-view 3d reconstruction via semantic consistency X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang, J Kautz Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 127 | 2020 |
| Putting humans in a scene: Learning affordance in 3d indoor environments X Li, S Liu, K Kim, X Wang, MH Yang, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 79 | 2019 |
| Online adaptation for consistent mesh reconstruction in the wild X Li, S Liu, S De Mello, K Kim, X Wang, MH Yang, J Kautz Advances in Neural Information Processing Systems 33, 15009-15019, 2020 | 51 | 2020 |
| Self-supervised single-view 3D reconstruction via semantic consistency X Li, S Liu, K Kim, S De Mello, V Jampani, J Kautz US Patent 11,238,650, 2022 | 23 | 2022 |
| Learning 3d dense correspondence via canonical point autoencoder AC Cheng, X Li, M Sun, MH Yang, S Liu Advances in Neural Information Processing Systems 34, 6608-6620, 2021 | 13 | 2021 |
| Learning continuous environment fields via implicit functions X Li, S De Mello, X Wang, MH Yang, J Kautz, S Liu arXiv preprint arXiv:2111.13997, 2021 | 8 | 2021 |
| Affordance diffusion: Synthesizing hand-object interactions Y Ye, X Li, A Gupta, S De Mello, S Birchfield, J Song, S Tulsiani, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Learning linear transformations for fast imageand video style transfer X Li, S Liu, J Kautz, MH Yang Learning linear transformations for fast imageand video style transfer,” in …, 2019 | 3* | 2019 |
| Learning propagation for arbitrarily-structured data S Liu, X Li, V Jampani, SD Mello, J Kautz Proceedings of the IEEE/CVF International Conference on Computer Vision, 652-661, 2019 | 3 | 2019 |
| Self-Supervised Super-Plane for Neural 3D Reconstruction B Ye, S Liu, X Li, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Scraping Textures from Natural Images for Synthesis and Editing X Li, X Wang, MH Yang, AA Efros, S Liu European Conference on Computer Vision, 391-408, 2022 | 1 | 2022 |
| Three-dimensional object reconstruction from a video X Li, S Liu, K Kim, S De Mello, J Kautz US Patent 11,354,847, 2022 | 1 | 2022 |
| Generalizable One-shot Neural Head Avatar X Li, S De Mello, S Liu, K Nagano, U Iqbal, J Kautz arXiv preprint arXiv:2306.08768, 2023 | | 2023 |
| Zero-shot Pose Transfer for Unrigged Stylized 3D Characters J Wang, X Li, S Liu, S De Mello, O Gallo, X Wang, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| Self-supervised single-view 3d reconstruction via semantic consistency X Li, S Liu, K Kim, S De Mello, V Jampani, J Kautz US Patent App. 17/578,051, 2022 | | 2022 |
| Learning Propagation for Arbitrarily-structured Data Supplementary Material S Liu, X Li, V Jampani, S De Mello, J Kautz | | |
Sifei LiuNVIDIAVerified email at nvidia.com
