Gpen-bfr-2048.pth

Traditional methods try to "guess" missing pixels by looking at neighboring pixels. GPEN does something smarter. It taps into the "memory" of a pre-trained GAN (Generative Adversarial Network)—specifically StyleGAN—to understand what a real face should look like. It doesn't just sharpen edges; it redraws missing details (like wrinkles, eyelashes, or skin texture) in a way that looks authentic.

GPEN is a deep learning framework used to fix heavily damaged, blurry, or low-quality face images by leveraging the "priors" (embedded knowledge) of a pre-trained GAN (Generative Adversarial Network). While many face restoration models peak at gpen-bfr-2048.pth

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