From CNN to GAN: The evolution of deep learning techniques in image processing

Abstract

In recent years, the technique for image processing has developed to improve the visual effects of images. This paper introduces ways to express images and basic operations. For the rest part of this paper, we elaborate on the current techniques for image processing including CNNs, RNNs, and GANs. each of them has different benefits and drawbacks. This paper also have further introduction about the theory and structure of neural networks above, and the reason for creating GANs, which is two adversarial network to improve the visual effects.