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[CVPR2022] Thin-Plate Spline Motion Model for Image Animation Windows Installation

License: MIT stars GitHub repo size

Source code of the CVPR'2022 paper "Thin-Plate Spline Motion Model for Image Animation"

Paper | Supp

Example animation

vox ted

Installation

  • Install Anaconda

  • Open Anaconda Powershell Prompt

  • Create Anaconda environment:

conda create --name thin-plate-spline python=3.9

  • Download this git and place it anywhere you want on your drive, for exemple : S:\Python\Projects\thin-plate-spline

  • Create a folder named checkpoints

  • Download pretrained models (pick one link) -- Tsinghua Cloud -- Google Drive

  • Unzip all files on your checkpoints directory, for exemple : S:\Python\Projects\thin-plate-spline\checkpoints

  • On Anaconda console type :

cd S:\Python\Projects\thin-plate-spline
  • To install the dependencies run:
pip install -r requirements.txt

Image animation demo

python demo.py --config config/vox-256.yaml --checkpoint checkpoints/vox.pth.tar --source_image assets/source.png --driving_video assets/driving.mp4

Acknowledgments

The main code is based upon FOMM and MRAA

Thanks for the excellent works!

And Thanks to: