| Flowfusion: Dynamic dense rgb-d slam based on optical flow T Zhang, H Zhang, Y Li, Y Nakamura, L Zhang ICRA, 2020 | 239 | 2020 |
| Lepard: Learning partial point cloud matching in rigid and deformable scenes Y Li, T Harada CVPR, 2022 | 233 | 2022 |
| 4dcomplete: Non-rigid motion estimation beyond the observable surface Y Li, H Takehara, T Taketomi, B Zheng, M Nießner ICCV, 2021 | 147 | 2021 |
| Pose graph optimization for unsupervised monocular visual odometry Y Li, Y Ushiku, T Harada ICRA, 2019 | 93 | 2019 |
| Non-rigid Point Cloud Registration with Neural Deformation Pyramid Y Li, T Harada NeurIPS, 2022 | 65 | 2022 |
| 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 (SIGGRAPH), 2024 | 64 | 2024 |
| Learning to optimize non-rigid tracking Y Li, A Bozic, T Zhang, Y Ji, T Harada, M Nießner CVPR, 2020 | 32 | 2020 |
| Malphite: A convolutional neural network and ensemble learning based protein secondary structure predictor Y Li, T Shibuya BIBM, 2015 | 24 | 2015 |
| 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 | 21 | 2024 |
| Splitfusion: Simultaneous tracking and mapping for non-rigid scenes Y Li, T Zhang, Y Nakamura, T Harada IROS, 2020 | 18 | 2020 |
| Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches Y Xu, Y Ng, Y Wang, I Sa, Y Duan, Y Li, P Ji, H Li arXiv preprint arXiv:2408.04567, 2024 | 15 | 2024 |
| 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, ... ECCV, 2024 | 15 | 2024 |
| LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image R Cui, X Song, W Sun, S Wang, W Liu, S Chen, T Shang, Y Li, N Barnes, ... NeurIPS, 2024 | 11 | 2024 |
| X-part: high fidelity and structure coherent shape decomposition X Yan, J Xu, Y Li, C Ma, Y Yang, C Wang, Z Zhao, Z Lai, Y Zhao, Z Chen, ... arXiv preprint arXiv:2509.08643, 2025 | 7 | 2025 |
| P3-sam: Native 3d part segmentation C Ma, Y Li, X Yan, J Xu, Y Yang, C Wang, Z Zhao, Y Guo, Z Chen, C Guo arXiv preprint arXiv:2509.06784, 2025 | 6 | 2025 |
| 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 |
| 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation Z Wu, Y Li, Y Huang, L Gu, T Harada, H Sato ICLR, 2022 | 4 | 2022 |
| Auto-Regressive Surface Cutting Y Li, V Cheung, X Liu, Y Chen, Z Luo, B Lei, H Weng, Z Zhao, J Huang, ... arXiv preprint arXiv:2506.18017, 2025 | 3 | 2025 |
| Hunyuan3d studio: End-to-end ai pipeline for game-ready 3d asset generation B Lei, Y Li, X Liu, S Yang, L Xu, J Huang, R Tang, H Weng, J Liu, J Xu, ... arXiv preprint arXiv:2509.12815, 2025 | 2 | 2025 |
| Prim2room: Layout-controllable room mesh generation from primitives C Feng, J Wei, C Chen, Y Li, P Ji, F Liu, H Li, G Lin arXiv preprint arXiv:2409.05380, 2024 | 2 | 2024 |
Tatsuya HaradaThe University of TokyoVerified email at mi.t.u-tokyo.ac.jp
