| Blockfusion: Expandable 3d scene generation using latent tri-plane extrapolation Z Wu, Y Li, H Yan, T Shang, W Sun, S Wang, R Cui, W Liu, H Sato, H Li, ... ACM Transactions on Graphics (ToG) 43 (4), 1-17, 2024 | 64 | 2024 |
| Frankenstein: Generating semantic-compositional 3d scenes in one tri-plane H Yan, Y Li, Z Wu, S Chen, W Sun, T Shang, W Liu, T Chen, X Dai, C Ma, ... SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 21 | 2024 |
| Plenvdb: Memory efficient vdb-based radiance fields for fast training and rendering H Yan, C Liu, C Ma, X Mei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 16 | 2023 |
| Neusdfusion: A spatial-aware generative model for 3d shape completion, reconstruction, and generation R Cui, W Liu, W Sun, S Wang, T Shang, Y Li, X Song, H Yan, Z Wu, ... European Conference on Computer Vision, 1-18, 2024 | 15 | 2024 |
| PhyCAGE: Physically plausible compositional 3d asset generation from a single image H Yan, M Zhang, Y Li, C Ma, P Ji arXiv preprint arXiv:2411.18548, 2024 | 6 | 2024 |
| BAG: Body-Aligned 3D Wearable Asset Generation Z Luo, Y Li, M Zhang, S Wang, H Yan, X Song, T Shang, W Mao, H Li, ... arXiv preprint arXiv:2501.16177, 2025 | 1 | 2025 |
| BachVid: Training-Free Video Generation with Consistent Background and Character H Yan, X Song, Y Wang, H Li, P Ji, C Ma arXiv preprint arXiv:2510.21696, 2025 | | 2025 |
