6DRepNet360
Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24
Install / Use
/learn @thohemp/6DRepNet360README
<div align="center"> 6DRepNet360 </div>
<p align="center"> <img src="https://github.com/thohemp/archive/blob/main/6drepnet360.gif" alt="animated" /> </p>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}}
