Recovering Old or Damaged Images using GAN

Abstract: This paper discusses recovering old or damaged images using generative adversarial networks. Researchers are using generative adversarial networks as a general-purpose solution to image to image translation problems. We demonstrate that this approach is effective in restoring lost parts in an image and colorizing images, but these networks can be used to solve a wide range of image to image translation problems.

Keywords: Restoration, Colorization, Generative Adversarial Network, Generator, Discriminator, Deep learning.