Skip to main content

PyTorch implementation of CodeFormer

Project description

Towards Robust Blind Face Restoration with Codebook Lookup Transformer

pypi version HuggingFace Spaces

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

codeformer-pip-0.0.4.tar.gz (111.9 kB view details)

Uploaded Source

File details

Details for the file codeformer-pip-0.0.4.tar.gz.

File metadata

  • Download URL: codeformer-pip-0.0.4.tar.gz
  • Upload date:
  • Size: 111.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for codeformer-pip-0.0.4.tar.gz
Algorithm Hash digest
SHA256 b0f7e1bcf9003b2abcf714265b83ec9b6cf30c2243e5a56f4c4f8d42a0262045
MD5 34299a33f3de3790d21c1ca432be26d8
BLAKE2b-256 9c74b1346a6b85c54634b553d773bdcc696d6b4dcd9a6bc55c77cbfbad8dc223

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page