Summary This repository serves as a comprehensive, curated aggregation of research in human motion understanding. It targets researchers, engineers, and practitioners in fields like animation, robotics, and computer vision, providing a centralized, up-to-date resource to navigate the rapidly evolving landscape of human motion research, its applications, and emerging trends.

How It Works The project functions as an extensive, categorized bibliography of academic papers. It meticulously organizes research across diverse sub-fields, including motion generation, editing, stylization, human-object/scene/human interaction, reconstruction, and pose estimation. By highlighting key publications from major conferences and journals, its primary value lies in its structured organization, enabling efficient discovery of state-of-the-art techniques, foundational works, and recent advancements in the domain.

Quick Start & Requirements Not applicable. This repository is a curated list of research papers, not a software package with installation or execution requirements.

Highlighted Details

• Breadth and Recency: Features an exceptionally broad and current collection of research, with a significant emphasis on papers from 2024 and 2025, alongside foundational works.
• Categorization: Organizes research into granular sub-disciplines such as Motion Generation, Motion Editing, Human-Object Interaction, Human-Scene Interaction, Human-Human Interaction, Human Reconstruction, and Human Pose Estimation.
• Publication Venues: References publications from top-tier conferences (e.g., CVPR, NeurIPS, SIGGRAPH, ICCV, ECCV) and journals, indicating a focus on high-impact, peer-reviewed research.
• Emerging Trends: Implicitly tracks emerging trends and technologies, such as diffusion models, LLMs for motion, and physics-based control, within the human motion domain.

Maintenance & Community The list is primarily contributed by Xinpeng Liu and Yusu Fang. Direct contact is encouraged for questions or suggestions. No other community channels or formal maintenance schedules are indicated.

Licensing & Compatibility No licensing information is provided. Compatibility for commercial use or integration into other projects would require independent verification of the referenced research papers' licenses.

Limitations & Caveats As a curated list, this repository does not offer executable code, datasets, or direct tools. Its utility is purely informational, requiring users to independently locate and implement the referenced research. The scope is limited to the papers included by the contributors, and it does not provide critical evaluations of the research itself.