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GFPGAN (Generative Facial Prior-Generative Adversarial Network) is an innovative artificial intelligence algorithm aimed at real-world face restoration, particularly for old or degraded photos. Developed by Tencent’s ARC team, it uses generative priors from pre-trained face GANs (such as StyleGAN2) to enhance facial details in photos. It can effectively restore and upscale facial images, offering significant improvements over older or conventional methods. This technology has seen various applications, from restoring old photographs to improving the quality of AI-generated faces. The open-source GFPGAN project is frequently updated, with its codebase available on GitHub. It is becoming increasingly popular within the tech and AI community, with many recognizing its potential in diverse applications, from academic research to practical, real-world uses.