yoyo-nb/Thin-Plate-Spline-Motion-Model
A deep learning model that animates source images by transferring motion from driving videos, published at CVPR 2022.
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This repository implements the Thin Plate Spline Motion Model for image animation, a CVPR 2022 paper. The model uses thin plate spline transformations to estimate dense motion fields between a source image and a driving sequence, enabling motion transfer for face animation, reenactment, and talking-head generation. The implementation includes training code, pretrained models, and integration with Hugging Face Spaces for web-based demos.
Frequently asked
- What is yoyo-nb/Thin-Plate-Spline-Motion-Model?
- A deep learning model that animates source images by transferring motion from driving videos, published at CVPR 2022.
- Is Thin-Plate-Spline-Motion-Model open source?
- Yes — yoyo-nb/Thin-Plate-Spline-Motion-Model is open source, released under the MIT license.
- What language is Thin-Plate-Spline-Motion-Model written in?
- yoyo-nb/Thin-Plate-Spline-Motion-Model is primarily written in Jupyter Notebook.
- How popular is Thin-Plate-Spline-Motion-Model?
- yoyo-nb/Thin-Plate-Spline-Motion-Model has 3.6k stars on GitHub.
- Where can I find Thin-Plate-Spline-Motion-Model?
- yoyo-nb/Thin-Plate-Spline-Motion-Model is on GitHub at https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model.