thohemp / 6DRepNet360

Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24

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6DRepNet360

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Overview

This is a PyTorch implementation of 6DRepNet360 specified in "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" , IEEE Transactions on Image Processing 2024

Models

Model Description Download
6DRepNet360 Full Rotation Fine-tuned on 300W-LP + Panoptic Download
6DRepNet360 Fine-tuned on 300W-LP Download

Usage

Coming soon!

Citing

If you find our work useful, please cite the paper:

@ARTICLE{10477888,
  author={Hempel, Thorsten and Abdelrahman, Ahmed A. and Al-Hamadi, Ayoub},
  journal={IEEE Transactions on Image Processing}, 
  title={Toward Robust and Unconstrained Full Range of Rotation Head Pose Estimation}, 
  year={2024},
  volume={33},
  number={},
  pages={2377-2387},
  doi={10.1109/TIP.2024.3378180}}

About

Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24

License:MIT License


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Language:Python 100.0%