PPAP

By Jiyong Rao, Brian Nlong Zhao and Yu Wang

This repository is an official implementation of PPAP in the paper PPAP: Probabilistic Prompt Distribution Learning for Animal Pose Estimation, which is accepted to CVPR 2025.

News

• 2025: PPAP was accepted by CVPR 2025.
• Code is available at Raojiyong/GCAP⁠.

Citing PPAP

If you find PPAP useful in your research, please consider citing:

@inproceedings{rao2025probabilistic,
  title={Probabilistic Prompt Distribution Learning for Animal Pose Estimation},
  author={Rao, Jiyong and Zhao, Brian Nlong and Wang, Yu},
  booktitle=CVPR,
  pages={29438--29447},
  year={2025}
}