Behind the Scenes of Blind Face Restoration: An In-depth Look at GFPGAN, CodeFormer, and RestoreFormer

Blind Face Restoration is a field in computer vision that aims at recovering high-quality faces from low-quality faces suffering from unknown degradation. This degradation could be due to factors such as low-resolution, noise, blur, compression artifacts, etc.

Several methods have been proposed to tackle this problem, including the use of Generative Adversarial Networks (GANs), Variation Auto Encoders (VAEs), Transformers in Vision and the latest Diffusion…