GFPGAN: Real-world Face Restoration

GFPGAN (Generative Facial Prior-guided Face Restoration) is a Python library that provides practical algorithms for high-quality face restoration, especially for degraded real-world images. It leverages a pre-trained GAN (Generative Adversarial Network) as a facial prior for robust restoration. The current version is 1.3.8, with a history of frequent minor updates addressing bugs, adding features, and refining model architectures.