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TMR: Text-to-Motion Retrieval

Using Contrastive 3D Human Motion Synthesis

Description

Official PyTorch implementation of the paper "TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis".

Please visit our webpage for more details.

Bibtex

If you find this code useful in your research, please cite:

@article{petrovich23tmr,
    title     = {{TMR}: Text-to-Motion Retrieval Using Contrastive {3D} Human Motion Synthesis},
    author    = {Petrovich, Mathis and Black, Michael J. and Varol, G{\"u}l},
    journal   = {arXiv preprint},
    year      = {2023}
}

You can also put a star โญ, if the code is useful to you.

Inference code

(Training code will arrive soon)

Installation ๐Ÿ‘ท

1. Create the environnement

This code is tested on Python 3.10.

python -m venv tmr_env
source tmr_env/bin/activate
pip install -r requirements.txt

2. Launch the demo

This command will download the necessary weights and launch the demo in a URL accessible by a web browser.

python app.py

tmr's People

Contributors

mathux avatar

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