codeformer-pip

Towards Robust Blind Face Restoration with Codebook Lookup Transformer

This repo is a PyTorch implementation of the paper CodeFormer.

Installation

pip install codeformer-pip

Usage

from codeformer.app import inference_app

inference_app(
  image="test.jpg",
  background_enhance=True,
  face_upsample=True,
  upscale=2,
  codeformer_fidelity=0.5,
)

Citation

@inproceedings{zhou2022codeformer,
    author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},
    title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},
    booktitle = {NeurIPS},
    year = {2022}
}

License

This project is licensed under NTU S-Lab License 1.0. Redistribution and use should follow this license.

Release files for codeformer-pip 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for codeformer-pip 0.0.4
File	Size	Uploaded
codeformer-pip-0.0.4.tar.gz	111.9 kB	Mar 23, 2023	Details

Release files / codeformer-pip-0.0.4.tar.gz

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