| Doublefield: Bridging the neural surface and radiance fields for high-fidelity human reconstruction and rendering R Shao, H Zhang, H Zhang, M Chen, YP Cao, T Yu, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 182 | 2022 |
| Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering R Shao, Z Zheng, H Tu, B Liu, H Zhang, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 178 | 2023 |
| threestudio: A unified framework for 3d content generation YC Guo, YT Liu, R Shao, C Laforte, V Voleti, G Luo, CH Chen, ZX Zou, ... threestudio: A unified framework for 3d content generation, 2023 | 147 | 2023 |
| Deepmulticap: Performance capture of multiple characters using sparse multiview cameras Y Zheng, R Shao, Y Zhang, T Yu, Z Zheng, Q Dai, Y Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 106 | 2021 |
| Dreamcraft3d: Hierarchical 3d generation with bootstrapped diffusion prior J Sun, B Zhang, R Shao, L Wang, W Liu, Z Xie, Y Liu arXiv preprint arXiv:2310.16818, 2023 | 95 | 2023 |
| Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis S Zheng, B Zhou, R Shao, B Liu, S Zhang, L Nie, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 91 | 2024 |
| Diffustereo: High quality human reconstruction via diffusion-based stereo using sparse cameras R Shao, Z Zheng, H Zhang, J Sun, Y Liu European Conference on Computer Vision, 702-720, 2022 | 61 | 2022 |
| Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation X Huang, R Shao, Q Zhang, H Zhang, Y Feng, Y Liu, Q Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 60 | 2024 |
| Localtrans: A multiscale local transformer network for cross-resolution homography estimation R Shao, G Wu, Y Zhou, Y Fu, L Fang, Y Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 51 | 2021 |
| Control4d: Dynamic portrait editing by learning 4d gan from 2d diffusion-based editor R Shao, J Sun, C Peng, Z Zheng, B Zhou, H Zhang, Y Liu arXiv preprint arXiv:2305.20082 2 (6), 16, 2023 | 44 | 2023 |
| Learning implicit templates for point-based clothed human modeling S Lin, H Zhang, Z Zheng, R Shao, Y Liu European Conference on Computer Vision, 210-228, 2022 | 41 | 2022 |
| Closet: Modeling clothed humans on continuous surface with explicit template decomposition H Zhang, S Lin, R Shao, Y Zhang, Z Zheng, H Huang, Y Guo, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Floren: Real-time high-quality human performance rendering via appearance flow using sparse rgb cameras R Shao, L Chen, Z Zheng, H Zhang, Y Zhang, H Huang, Y Guo, Y Liu SIGGRAPH Asia 2022 Conference Papers, 1-10, 2022 | 18 | 2022 |
| Control4d: Efficient 4d portrait editing with text R Shao, J Sun, C Peng, Z Zheng, B Zhou, H Zhang, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| Threestudio: a unified framework for 3d content generation (2023) YC Guo, YT LIU, R SHAO, C LAFORTE, V VOLETI, G LUO, CH CHEN, ... URL: https://github. com/threestudio-project/threestudio 7, 0 | 11 | |
| Human4DiT: Free-view Human Video Generation with 4D Diffusion Transformer R Shao, Y Pang, Z Zheng, J Sun, Y Liu arXiv preprint arXiv:2405.17405, 2024 | 10 | 2024 |
| Humancoser: Layered 3d human generation via semantic-aware diffusion model Y Wang, J Ma, R Shao, Q Feng, YK Lai, K Li 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2024 | 9 | 2024 |
| Hdhuman: High-quality human novel-view rendering from sparse views T Zhou, J Huang, T Yu, R Shao, K Li IEEE Transactions on Visualization and Computer Graphics, 2023 | 8 | 2023 |
| 360-degree Human Video Generation with 4D Diffusion Transformer R Shao, Y Pang, Z Zheng, J Sun, Y Liu ACM Transactions on Graphics (TOG) 43 (6), 1-13, 2024 | 7 | 2024 |
| HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models M Li, H Zhang, Y Zhang, R Shao, T Yu, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
Yebin LiuProfessor, Tsinghua UniversityE-mail megerősítve itt: tsinghua.edu.cn