This repository is an "awesome list" curating research papers focused on 3D human body modeling, pose estimation, and motion capture. It serves as a comprehensive resource for researchers and practitioners in computer vision and graphics working with human body data.

How It Works

The list categorizes papers by sub-topics such as Body Models, Body Pose, Naked Body Mesh, Clothed Body Mesh, Human Depth Estimation, Human Motion, Human-Object Interaction, Animation, Cloth/Try-On, Neural Rendering, and Datasets. Each entry typically includes the paper title, publication venue, and links to its page and/or code repository.

Quick Start & Requirements

This is a curated list of papers and does not involve direct installation or execution. Users can browse the list for relevant research.

Highlighted Details

• Extensive coverage of 3D human body representation and reconstruction techniques.
• Includes papers on both single-person and multi-person scenarios.
• Features research spanning various input modalities (RGB, RGB-D, IMUs, LiDAR).
• Covers a wide range of applications from pose estimation to full body performance capture and animation.

Maintenance & Community

The list is maintained by 3DFaceBody. Further community interaction details are not specified in the README.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache) as is common for "awesome lists," but the linked papers and code repositories will have their own respective licenses.

Limitations & Caveats

This is a static list of papers and does not provide implementations or direct access to the research content itself. Users must follow the provided links to access the original papers and code.