zsxkib / stable-video-face-restoration

SVFR: A Unified Framework for Generalized Video Face Restoration

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Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

SVFR - Video Face Restoration

SVFR (Stable Video Face Restoration) brings old and degraded videos back to life by restoring faces with remarkable detail. This model offers three powerful restoration options:

  1. Face restoration - Enhances facial details and sharpness
  2. Face restoration + colorization - Brings both enhanced details and vibrant colors
  3. Full restoration pipeline - Complete enhancement including masked inpainting

Inputs Required

  • A video file (MP4 or other common formats)
  • Choice of restoration type
  • Optional mask image for inpainting (required only for full pipeline)
  • Random seed for reproducible results

Notes

  • The model works best with clear, front-facing facial footage
  • For inpainting, provide a black & white mask where white areas indicate regions to restore
  • Processing time depends on video length and chosen restoration options

License

Available for non-commercial research purposes only. See SVFR paper for details.

BibTex

@misc{wang2025svfrunifiedframeworkgeneralized,
      title={SVFR: A Unified Framework for Generalized Video Face Restoration}, 
      author={Zhiyao Wang and Xu Chen and Chengming Xu and Junwei Zhu and Xiaobin Hu and Jiangning Zhang and Chengjie Wang and Yuqi Liu and Yiyi Zhou and Rongrong Ji},
      year={2025},
      eprint={2501.01235},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2501.01235}, 
}

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