"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

September 15, 2021

Image Restoration, Face Restoration Papers

GFPGAN 

Paper - Towards Real-World Blind Face Restoration with Generative Facial Prior

Key Notes

  • GFP-GAN that leverages rich and diverse priors encapsulated in a pretrained face GAN
  • StyleGAN -  generating faithful faces with a high degree of variability
  • GFP-GAN with CS-SFT layers achieves a good balance of fidelity and texture faithfulness 
  • Generative facial priors (GFP)

Image Restoration Techniques

  • Super-resolution
  • Denoising
  • Deblurring
  • Compression removal
  • GFP-GAN is comprised of a degradation removal module (U-Net) and a pretrained face GAN (such as StyleGAN2)
  • Reconstruction loss that constraints the outputs yˆ close to the ground-truth
  • Adversarial loss for restoring realistic textures
  • Identity preserving loss.


State-of-the-art face restoration methods

Keep Reading!!!

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