A PyTorch reimplementation of the paper - 3D human pose estimation.
Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3d human pose estimation. In ICCV, 2017. PDF: https://arxiv.org/pdf/1705.03098.pdf
You can check original Tensorflow implementation written by Julieta Martinez et al.
This repo reproduces the work by @weigq.
- PyTorch >= 1.0.0
Human3.6m
git clone https://github.com/jaroslaw1007/Pose_Baseline_3D_PyTorch.git
Train on Human3.6m groundtruth 2d joints.
python main.py --training --max_norm
python main.py
| direct. | discuss. | eat. | greet. | phone | photo | pose | purch. | sit | sitd. | somke | wait | walkd. | walk | walkT | avg | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Julieta Martinez et al. | 37.7 | 44.4 | 40.3 | 42.1 | 48.2 | 54.9 | 44.4 | 42.1 | 54.6 | 58.0 | 45.1 | 46.4 | 47.6 | 36.4 | 40.4 | 45.5 |
| weigq | 35.7 | 42.3 | 39.7 | 40.7 | 44.5 | 53.3 | 42.8 | 40.1 | 52.5 | 53.9 | 42.8 | 43.1 | 44.1 | 33.4 | 36.3 | 43.0 |
| This version | 35.5 | 41.7 | 39.0 | 40.4 | 44.4 | 52.4 | 42.7 | 38.2 | 53.6 | 54.6 | 42.6 | 42.8 | 44.1 | 33.9 | 36.9 | 42.8 |
@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}
}