This repository serves as a curated collection of research papers and datasets focused on Human Interaction Motion Generation (HIMG). It aims to provide a structured reference for researchers and practitioners in this rapidly advancing field, covering human-human, human-object, and human-scene interactions, and is updated irregularly.

How It Works

The repository itself functions as a literature aggregator, categorizing and listing key research papers and datasets within the HIMG domain. It highlights advancements in modeling complex human dynamics for applications in robotics, VR, and animation, organizing research by interaction type to facilitate literature review.

Quick Start & Requirements

This repository is a curated list of research papers and associated resources (like GitHub repositories and project pages) rather than a runnable software project. Therefore, there are no direct installation or execution commands, prerequisites, or setup instructions provided for the repository itself.

Highlighted Details

• Comprehensive collection of papers and datasets across Human-Human, Human-Object, and Human-Scene Interaction Motion Generation.
• Regularly updated with recent research, including significant works from 2024-2025.
• Provides links to associated GitHub repositories and project pages for most listed papers, enabling deeper exploration of specific research.
• Includes a survey paper available on arXiv (2503.12763) for a broader overview of the field.

Maintenance & Community

The repository is updated "irregularly" and encourages contributions via pull requests. It acknowledges contributors, including a specific mention for the repo template provider. Community interaction channels (like Discord/Slack) or a roadmap are not explicitly detailed.

Licensing & Compatibility

No specific license is mentioned for the repository itself. The linked research papers and code repositories will be governed by their respective licenses, which may vary and could include restrictions on commercial use or derivative works.

Limitations & Caveats

As a curated list, this repository does not offer direct software functionality, code execution, or pre-trained models. Users must follow links to individual research projects for implementation details, dependencies, and licensing. The "irregular" update schedule means it may not always reflect the absolute latest research.