| 3d reconstruction with generalizable neural fields using scene priors Y Fu, S De Mello, X Li, A Kulkarni, J Kautz, X Wang, S Liu arXiv preprint arXiv:2309.15164, 2023 | 2 | 2023 |
| 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 | 457 | 2018 |
| A unified approach for text-and image-guided 4d scene generation Y Zheng, X Li, K Nagano, S Liu, O Hilliges, S De Mello Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 20 | 2024 |
| 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 | 45 | 2023 |
| Autoregressive 3d shape generation via canonical mapping AC Cheng, X Li, S Liu, M Sun, MH Yang European Conference on Computer Vision, 89-104, 2022 | 32 | 2022 |
| Gavatar: Animatable 3d gaussian avatars with implicit mesh learning Y Yuan, X Li, Y Huang, S De Mello, K Nagano, J Kautz, U Iqbal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Generalizable one-shot 3D neural head avatar X Li, S De Mello, S Liu, K Nagano, U Iqbal, J Kautz Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| 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 | 166 | 2019 |
| 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 | 22 | 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 | 9 | 2021 |
| 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 | 245 | 2019 |
| 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 | | 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 |
| Learning Propagation for Arbitrarily-structured Data, Supplementary Material S Liu, X Li, V Jampani, S De Mello, J Kautz unknown source, unknown date, 1-7, 0 | 1 | |
| 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 | 61 | 2020 |
| Physics-based Indirect Illumination for Inverse Rendering Y Deng, X Li, S Liu, MH Yang 2024 International Conference on 3D Vision (3DV), 1249-1258, 2024 | | 2024 |
| 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 | 105 | 2019 |
| Pyramid Diffusion for Fine 3D Large Scene Generation Y Liu, X Li, X Li, L Qi, C Li, MH Yang arXiv preprint arXiv:2311.12085, 2023 | 2 | 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 | 4 | 2022 |
| 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 |
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu