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6DRepNet360

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

Install / Use

/learn @thohemp/6DRepNet360
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

PWC PWC PWC

<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}}
View on GitHub
GitHub Stars168
CategoryDevelopment
Updated2d ago
Forks8

Languages

Python

Security Score

100/100

Audited on Mar 30, 2026

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