Awesome
Intro
Code for HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Train
bash run_train.sh
Test
bash run_test.sh
The pretrained model of Human3.6M with 2D GT input can be found in checkpoints/model
.
Dataset
Set the dataset path data_path
in config/hdformer.yaml
. Note that the Human3.6M dataset need licenses, the developer should apply for authorisation from Human3.6M.
Citation
@article{chen2023-hdformer,
title = {HDFormer: High-order Directed Transformer for 3D Human Pose Estimation},
author = {Chen, Hanyuan and He, Jun-Yan and Xiang, Wangmeng and Liu, Wei and Cheng, Zhi-Qi and Liu, Hanbing and Luo, Bin and Geng, Yifeng and Xie, Xuansong},
year = {2023},
eprint = {2302.01825},
doi = {10.48550/arXiv.2302.01825},
}
@article{h36m_pami,
author = {Ionescu, Catalin and Papava, Dragos and Olaru, Vlad and Sminchisescu, Cristian},
title = {Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments},
journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence},
publisher = {IEEE Computer Society},
year = {2014}
}