SMPLCap ( ) is a collection of our projects focusing on advancing the field of 3D Human Pose and Shape Estimation (HPS), including methods and tools to recover full-body pose and shape from diverse input modalities:
    - Foundation models: SMPLest-X, SMPLer-X, HMR-Benchmarks
    - World-Grounded: WHAC
    - All-in-One-Stage: AiOS
    - Robustness: RoboSMPLX
    - Perspective Distortion: Zolly
    - Point Cloud: PointHPS
    - Alignment: ADHMR

MMHuman3D is an open source PyTorch-based codebase for the use of 3D human parametric models. It is a part of the OpenMMLab project.
    - Reproducing popular methods with a modular framework
    - Supporting various datasets with a unified data convention
    - Versatile visualization toolbox

Watch Fork Star