GFPGAN is a browser-based Hugging Face Space for restoring and enhancing faces in old photographs or AI-generated images. Users upload an image, select a model version and rescaling factor, and receive an enhanced result.
In the Upscaling & restoration space, GFPGAN takes a focused approach. It focuses on restoring degraded or low-quality faces in old photographs and AI-generated images. It is built as an open-source project for people restoring photos and developers evaluating face-restoration models. GFPGAN is free to use. It runs on the web.
Xintao Wang builds and maintains GFPGAN. Key capabilities include Image Upload, Face Restoration, and Photo Enhancement.
Summary written by a language model from the project’s public pages.
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