GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Restore and enhance faces in images using advanced algorithms designed for real-world applications.
From the README
git clone https://github.com/TencentARC/GFPGAN.git
cd GFPGAN- :whitecheckmark: Support enhancing non-face regions (background) with Real-ESRGAN.
- :whitecheckmark: We provide a clean version of GFPGAN, which does not require CUDA extensions.
- :whitecheckmark: We provide an updated model without colorizing faces.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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GFPGAN has 37.6k stars on GitHub. It has been forked 6.3k times. GFPGAN is written mainly in Python. It has been in active development since 2021. Its main topics are deep-learning, face-restoration, gan, gfpgan.
What is GFPGAN?
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Is GFPGAN open source?
GFPGAN is an open-source project.
Is GFPGAN free?
Yes. GFPGAN is free and open source — you can use, modify and self-host it.
What language is GFPGAN written in?
GFPGAN is written mainly in Python.
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