dmetehan / GnTCN

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

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GnTCN

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

Installation

Install the latest version of pytorch. (This repo is tested on pytorch 1.3 - 1.7)

Install torchsul

pip install --upgrade torchsul 

Download the necessary files here, and unzip to this project's directory.

Usage

Evaluate on H36M ground truth

python eval_gt_h36m.py

Citation

This repository contains the code and models for the following paper.

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Cheng Yu, Bo Wang, Bo Yang, Robby T. Tan
AAAI Conference on Artificial Intelligence, AAAI 2021.

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Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos


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