Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3d human pose estimation. In ICCV, 2017. https://arxiv.org/pdf/1705.03098.pdf.
We provide a strong baseline for 3d human pose estimation that also sheds light on the challenges of current approaches. Our model is lightweight and we strive to make our code transparent, compact, and easy-to-understand.
Clone this repository and get the data. We provide the Human3.6M dataset in 3d points, camera parameters to produce ground truth 2d detections, and Stacked Hourglass detections.
You can find the detections produced by Stacked Hourglass after fine-tuning on the H3.6M dataset on google drive.
Citing
If you use our code, please cite our work
@inproceedings{martinez_2017_3dbaseline,
title={A simple yet effective baseline for 3d human pose estimation},
author={Martinez, Julieta and Hossain, Rayat and Romero, Javier and Little, James J.},
booktitle={ICCV},
year={2017}
}