WANDR: Intention-guided Human Motion Generation

Welcome to the WANDR (CVPR-24) project repository! Thank you for your interest in our work. Fell free to open issues or email me about any suggestions/problems you encounter. This guide will help you set up and get started with the project.

Introduction

This initial commit allows you to download and run our model. Soon code and data for training and evaluating will follow. Stay tuned!

Authors

Markos Diomataris (1,2)
Nikos Athanasiou (1)
Omid Taheri (1)
Xi Wang (2)
Otmar Hilliges (2)
Michael J. Black (1)

Max Planck Institute for Intelligent Systems, Tübingen, Germany
ETH Zürich, Switzerland

Paper and Video

Getting Started

Follow these steps to set up your environment and download the necessary resources.

1. Download the SMPL-X Body Model

Visit the SMPL-X website.
Create an account if you don't have one.
Navigate to the "Download" section.
Download SMPL-X v1.1 and place it in the root directory of this project.

2. Run the Setup Script

Run the scripts/setup.sh script to set up your environment:

sh scripts/setup.sh

This script will:

Extract the previously downloaded SMPL-X zip file and place the contents under ./data/body_models.
Set up a Python virtual environment named wandr_env.

Activate the Virtual Environment

After running the setup script, activate the virtual environment with:

source wandr_env/bin/activate

Run the demo

python demo.py

This should generate an output.mp4 rendering of the produced motion.

Citation

@inproceedings{diomataris2024wandr,
  title = {{WANDR}: Intention-guided Human Motion Generation},
  author = {Diomataris, Markos and Athanasiou, Nikos and Taheri, Omid and Wang, Xi and Hilliges, Otmar and Black, Michael J.},
  booktitle = {Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
}

Contact

This repository was implemented by Markos Diomataris. Contact me at markos.diomataris@tuebingen.mpg.de

markos-diomataris/wandr