| Topology matching for fully automatic similarity estimation of 3D shapes M Hilaga, Y Shinagawa, T Kohmura, TL Kunii Proceedings of the 28th annual conference on Computer graphics and …, 2001 | 1827 | 2001 |
| Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction P Wang, L Liu, Y Liu, C Theobalt, T Komura, W Wang arXiv preprint arXiv:2106.10689, 2021 | 1566 | 2021 |
| A deep learning framework for character motion synthesis and editing D Holden, J Saito, T Komura ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 775 | 2016 |
| Phase-functioned neural networks for character control D Holden, T Komura, J Saito ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017 | 665 | 2017 |
| A virtual reality dance training system using motion capture technology JCP Chan, H Leung, JKT Tang, T Komura IEEE transactions on learning technologies 4 (2), 187-195, 2010 | 619 | 2010 |
| Learning motion manifolds with convolutional autoencoders D Holden, J Saito, T Komura, T Joyce SIGGRAPH Asia 2015 technical briefs, 1-4, 2015 | 366 | 2015 |
| Syncdreamer: Generating multiview-consistent images from a single-view image Y Liu, C Lin, Z Zeng, X Long, L Liu, T Komura, W Wang arXiv preprint arXiv:2309.03453, 2023 | 349 | 2023 |
| Mode-adaptive neural networks for quadruped motion control H Zhang, S Starke, T Komura, J Saito ACM Transactions on Graphics (TOG) 37 (4), 1-11, 2018 | 332 | 2018 |
| Neural state machine for character-scene interactions S Starke, H Zhang, T Komura, J Saito ACM Transactions on Graphics 38 (6), 178, 2019 | 321 | 2019 |
| Spatial relationship preserving character motion adaptation ESL Ho, T Komura, CL Tai ACM SIGGRAPH 2010 papers, 1-8, 2010 | 228 | 2010 |
| Faceformer: Speech-driven 3d facial animation with transformers Y Fan, Z Lin, J Saito, W Wang, T Komura Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 223 | 2022 |
| A recurrent variational autoencoder for human motion synthesis T Komura, I Habibie, D Holden, J Schwarz, J Yearsley The 28th British Machine Vision Conference, 2017 | 201 | 2017 |
| Local motion phases for learning multi-contact character movements S Starke, Y Zhao, T Komura, K Zaman ACM Transactions on Graphics (TOG) 39 (4), 54: 1-54: 13, 2020 | 198 | 2020 |
| Sparseneus: Fast generalizable neural surface reconstruction from sparse views X Long, C Lin, P Wang, T Komura, W Wang European Conference on Computer Vision, 210-227, 2022 | 162 | 2022 |
| Creating and retargetting motion by the musculoskeletal human body model T Komura, Y Shinagawa, TL Kunii The visual computer 16, 254-270, 2000 | 139 | 2000 |
| Deepphase: Periodic autoencoders for learning motion phase manifolds S Starke, I Mason, T Komura ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022 | 134 | 2022 |
| A feedback controller for biped humanoids that can counteract large perturbations during gait T Komura, H Leung, S Kudoh, J Kuffner Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 132 | 2005 |
| F2-nerf: Fast neural radiance field training with free camera trajectories P Wang, Y Liu, Z Chen, L Liu, Z Liu, T Komura, C Theobalt, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 122 | 2023 |
| Motionet: 3d human motion reconstruction from monocular video with skeleton consistency M Shi, K Aberman, A Aristidou, T Komura, D Lischinski, D Cohen-Or, ... Acm transactions on graphics (tog) 40 (1), 1-15, 2020 | 121 | 2020 |
| Optimal coordination of maximal-effort horizontal and vertical jump motions–a computer simulation study A Nagano, T Komura, S Fukashiro Biomedical engineering online 6, 1-9, 2007 | 120 | 2007 |
Wenping WangTexas A&M UniversityVerified email at tamu.edu
