tmddud20/EgoSMPLX

Pseudo-GT Annotations

This repository provides the optimization-based pseudo-GT annotations for the EgoPW dataset used in Egocentric Whole-Body Human Mesh Recovery with Prior-Guided Learning, IEEE ICIP 2026.

The annotations are obtained by fitting SMPL body pose and shape parameters to the available GT 3D body joints and are used as body-level supervision in the proposed framework.

pseudo-GT/
├── human_data_train/
│   └── humandata.npz
└── human_data_test/
    └── humandata.npz

Resources

• Paper (IEEE Xplore)
• arXiv
• Code
• Model

Citation

If you find our work useful, please cite:

@inproceedings{na2026egocentric,
  author={Na, Soyeon and Noh, Seung Young and Chang, Ju Yong},
  title={Egocentric Whole-Body Human Mesh Recovery with Prior-Guided Learning},
  booktitle={2026 IEEE International Conference on Image Processing (ICIP)},
  year={2026}
}