Professor Komura, Taku

PhD Tokyo
Professor

Tel: (+852) 2859 7072
Fax: (+852) 2559 8447
Email: taku@cs.hku.hk
Homepage: https://www.cs.hku.hk/~taku

Taku Komura joined Hong Kong University in 2020. Before joining HKU, he worked at the University of Edinburgh (2006-2020), City University of Hong Kong (2002-2006) and RIKEN (2000-2002). He received his BSc, MSc and PhD in Information Science from University of Tokyo. His research has focused on data-driven character animation, physically-based character animation, crowd simulation, 3D modelling, cloth animation, anatomy-based modelling and robotics. Recently, his main research interests have been on physically-based animation and the application of machine learning techniques for animation synthesis. He received the Royal Society Industry Fellowship (2014) , the Google AR/VR Research Award (2017) and SIGGRAPH2022 Best Paper Award.   He served as the General Chair of SIGGRAPH Asia 2025.  

Research Interests

Physical simulation, Character animation, 3D modelling

Selected Publications

• Wenjia Wang, Liang Pan, Huaijin Pi, Yuke Lou, Xuqian Ren, Yifan Wu, Zhouyingcheng Liao, Lei Yang, Rishabh Dabral, Christian Theobalt, Taku Komura, EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents, CVPR2026 

  Zhiyang Dou, Chen Peng, Xinyu Lu, Xiaohan Ye, Lixing Fang, Yuan Liu, Wenping Wang, Chuang Gan, Lingjie Liu, Taku Komura, CFC: Simulating Character-Fluid Coupling using a Two-Level World Model, ACM Transactions on Graphics (Proc of SIGGRAPH Asia 2025)
• K Huang, X Lu, H Lin, T Komura, M Li, StiffGIPC: Advancing GPU IPC for stiff affine-deformable simulation, ACM Transactions on Graphics, 2025
• X Ye, X Gao, K Wu, Z Pan, T Komura, SDRS: Shape-Differentiable Robot Simulator, IEEE Transactions on Robotics, vol 42, 2025
• H Pi, Z Cen, Z Dou, T Komura, Coda: Coordinated diffusion noise optimization for whole-body manipulation of articulated objects, Neurips 2025
• Shuyang Xu, Zhiyang Dou, Mingyi Shi, Liang Pan, Leo Ho, Jingbo Wang, Yuan Liu, Cheng Lin, Yuexin Ma, Wenping Wang, Taku Komura, Mospa: Human motion generation driven by spatial audio, Neurips 2025
• Fan, Y., Lin, Z., Saito, J., Wang, W., & Komura, T. (2022). Faceformer: Speech-driven 3d facial animation with transformers. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 18770-18780).
• P Wang, L Liu, Y Liu, C Theobalt, T Komura, W Wang, Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,  Neurips2021
• Sebastian Starke, He Zhang, Taku Komura, Jun Saito, "Neural State Machine for Character-Scene Interactions", ACM Transactions on Graphics 38(6), 2019 (Proceedings of SIGGRAPH Asia 2019)
• Ian Mason, Sebastian Starke, He Zhang, Hakan Bilen, Taku Komura, "Few-shot Learning of Homogeneous Human Locomotion Styles" , Computer Graphics Forum, 37(7), 2018
• He Zhang*, Sebastian Starke* (joint first authors), Taku Komura, Jun Saito, Mode-Adaptive Neural Networks for Quadruped Motion Control , ACM Transactions on Graphics 37(4),2018 (Proceedings of SIGGRAPH 2018)
• Daniel Holden, Taku Komura, Jun Saito "Phase-Functioned Neural Networks for Character Control", ACM Transactions on Graphics 36(4), 2017 (Proceedings of SIGGRAPH 2017)
• Daniel Holden, Jun Saito, Taku Komura "A deep learning framework for character motion synthesis and editing", ACM Transactions on Graphics 35(4), 2016 (Proceedings of SIGGRAPH 2016)