This repository serves as a curated collection of recent research papers and datasets focused on 3D hand-related tasks. It aims to provide a comprehensive overview and resource for researchers and practitioners in computer vision and graphics working on hand pose estimation, shape reconstruction, and interaction analysis.

How It Works

The repository categorizes research by specific 3D hand tasks, including hand modeling, hand-object interaction, hand-hand interaction, full-body reconstruction, and gesture prediction. Within each category, it lists relevant papers with links to PDFs, project pages, and code repositories, alongside a detailed overview of associated datasets with their key properties.

Quick Start & Requirements

This repository is a collection of research papers and does not have a direct installation or execution command. Users will need to individually access and set up the code and datasets for each paper they wish to explore.

Highlighted Details

• Extensive catalog of datasets for 3D hand tasks, detailing properties like data size, annotation types, and interaction capabilities.
• Comprehensive listing of recent papers across various sub-fields of 3D hand research, including links to code and supplementary materials.
• Categorization of research by specific tasks, facilitating targeted exploration of the field.

Maintenance & Community

The repository is maintained by SeanChenxy. Further community engagement or roadmap details are not specified in the README.

Licensing & Compatibility

The repository itself does not specify a license. Individual papers and their associated code/datasets will have their own licenses, which users must adhere to.

Limitations & Caveats

This repository is a curated list and does not provide any executable code or pre-trained models itself. Users must independently locate, download, and set up the resources for each paper of interest.