3D Human Motion Generation
and Simulation Tutorial
ICCV 2025 Tutorial
10/19/2025 9:00-16:00 (HST)
Room TBD
Introduction
Human motion generation is an important area of research with applications in virtual reality, gaming, animation, robotics, and AI-driven content creation. Generating realistic and controllable human motion is essential for creating interactive digital environments, improving character animation, and enhancing human-computer interaction. Recent advances in deep learning have made it possible to automate motion generation, reducing the need for expensive motion capture and manual animation. Techniques such as diffusion models, generative masked modeling, and variational autoencoders (VAEs) have been used to synthesize diverse and realistic human motion. Transformer-based models have improved the ability to capture temporal dependencies, leading to smoother and more natural movement. In addition, reinforcement learning and physics-based methods have helped create physically plausible and responsive motion, which is useful for applications like robotics and virtual avatars. Human motion generation research spans across computer vision, computer graphics, and robotics. However, many researchers and developers may not be familiar with the latest advances and challenges in this area. This tutorial will provide an introduction to human motion generation, covering key methods, recent developments, and practical applications. We will also discuss open research problems and opportunities for future work. The tutorial will be divided into six parts: 1) human motion generation basics, 2) kinematic-based generation methods, 3) physics-based generation methods, 4) controllability of human motion generation, 5) human-object/human/scene interactions, and 6) open research problems.
Schedule
| Time (HST) | Programme |
|---|---|
| 09:00 - 09:10 | Opening Remarks |
| 09:10 - 10:00 |
Invited Talk: TBD TBD Chuan Guo is a research scientist at Meta Reality Lab. Previously, He spent a wonderful year at Snap Research as a research scientist. His research interests are in generative AI for digital human performance and character animation, focusing on 3D avatar animation, motion synthesis/stylization, and human-scene/object interaction. 
Chuan Guo
Research Scientist, Meta Reality Lab |
| 10:00 - 10:10 | Coffee Break |
| 10:10 - 11:00 |
Invited Talk: TBD TBD TBD 
Zhengyi Luo
Research Scientist, NVIDIA |
| 11:00 - 11:10 | Coffee Break |
| 11:10 - 12:00 |
Invited Talk: TBD TBD TBD 
Libin Liu
Assistant Professor, Peking University |
| 12:00 - 14:00 | Lunch Break |
| 14:00 - 14:50 |
Invited Talk: TBD TBD TBD 
Korrawe Karunratanakul
Postdoctoral Researcher, ETH Zurich |
| 14:50 - 15:00 | Coffee Break |
| 15:00 - 15:50 |
Invited Talk: TBD TBD TBD 
Xianghui Xie
PhD Student, Max Planck Institute for Informatics |
| 15:50 - 16:00 | Coffee Break |
| 16:00 - 16:50 | Panel Discussion |
| 16:50 - 17:00 | Ending Remarks |
