| SDM-NET: Deep generative network for structured deformable mesh L Gao, J Yang, T Wu, YJ Yuan, H Fu, YK Lai, H Zhang ACM Transactions on Graphics (TOG) 38 (6), 1-15, 2019 | 238 | 2019 |
| Automatic unpaired shape deformation transfer L Gao, J Yang, YL Qiao, YK Lai, PL Rosin, W Xu, S Xia ACM Transactions on Graphics (ToG) 37 (6), 1-15, 2018 | 106 | 2018 |
| Sparse data driven mesh deformation L Gao, YK Lai, J Yang, LX Zhang, S Xia, L Kobbelt IEEE transactions on visualization and computer graphics 27 (3), 2085-2100, 2019 | 80 | 2019 |
| DSG-Net: Learning disentangled structure and geometry for 3D shape generation J Yang, K Mo, YK Lai, LJ Guibas, L Gao ACM Transactions on Graphics (TOG) 42 (1), 1-17, 2022 | 71* | 2022 |
| Mesh-based autoencoders for localized deformation component analysis Q Tan, L Gao, YK Lai, J Yang, S Xia Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 71 | 2018 |
| Recent advances in 3d gaussian splatting T Wu, YJ Yuan, LX Zhang, J Yang, YP Cao, LQ Yan, L Gao Computational Visual Media 10 (4), 613-642, 2024 | 59 | 2024 |
| Neudf: Leaning neural unsigned distance fields with volume rendering YT Liu, L Wang, J Yang, W Chen, X Meng, B Yang, L Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 52 | 2023 |
| Mesh variational autoencoders with edge contraction pooling YJ Yuan, YK Lai, J Yang, Q Duan, H Fu, L Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
| Learning on 3D meshes with Laplacian encoding and pooling YL Qiao, L Gao, J Yang, PL Rosin, YK Lai, X Chen IEEE Transactions on Visualization and Computer Graphics 28 (2), 1317-1327, 2020 | 36* | 2020 |
| Single image 3d shape retrieval via cross-modal instance and category contrastive learning MX Lin, J Yang, H Wang, YK Lai, R Jia, B Zhao, L Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 35 | 2021 |
| Octfield: Hierarchical implicit functions for 3d modeling JH Tang, W Chen, J Yang, B Wang, S Liu, B Yang, L Gao arXiv preprint arXiv:2111.01067, 2021 | 33 | 2021 |
| SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry L Gao, JM Sun, K Mo, YK Lai, LJ Guibas, J Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8902-8919, 2023 | 32 | 2023 |
| Biharmonic deformation transfer with automatic key point selection J Yang, L Gao, YK Lai, PL Rosin, S Xia Graphical Models 98, 1-13, 2018 | 32 | 2018 |
| Multiscale mesh deformation component analysis with attention-based autoencoders J Yang, L Gao, Q Tan, YH Huang, S Xia, YK Lai IEEE Transactions on Visualization and Computer Graphics 29 (2), 1301-1317, 2021 | 17 | 2021 |
| HSDF: Hybrid Sign and Distance Field for Neural Representation of Surfaces with Arbitrary Topologies L Wang, YT Liu, J Yang, W Chen, X Meng, B Yang, J Li, L Gao IEEE Transactions on Visualization and Computer Graphics, 2024 | 16* | 2024 |
| Mesh-based gaussian splatting for real-time large-scale deformation L Gao, J Yang, BT Zhang, JM Sun, YJ Yuan, H Fu, YK Lai arXiv preprint arXiv:2402.04796, 2024 | 16 | 2024 |
| Laplacian mesh transformer: Dual attention and topology aware network for 3D mesh classification and segmentation XJ Li, J Yang, FL Zhang European Conference on Computer Vision, 541-560, 2022 | 15 | 2022 |
| Deep deformation detail synthesis for thin shell models L Chen, L Gao, J Yang, S Xu, J Ye, X Zhang, YK Lai Computer Graphics Forum 42 (5), e14903, 2023 | 14 | 2023 |
| Variational autoencoders for localized mesh deformation component analysis Q Tan, LX Zhang, J Yang, YK Lai, L Gao IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6297 …, 2021 | 11 | 2021 |
| Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning JM Sun, J Yang, K Mo, YK Lai, L Guibas, L Gao ACM Transactions on Graphics 43 (2), 1-17, 2024 | 10 | 2024 |
Lin GaoProfessor, University of Chinese Academy of SciencesVerified email at ict.ac.cn