Survey of generative adversarial network

Abstract

Firstly, the basic theory, application scenarios and current state of research of GAN (generative adversarial network) were introduced, and the problems need to be improved were listed.Then, recent research, improvement mechanism and model features in 2 categories and 7 subcategories revolved around 3 points (improving model training efficiency, improving the quality of generated samples, and reducing the possibility of model collapse) were generalized and summarized.Finally, 3 future research directions were discussed.

Keywords

• generative adversarial network;generative model;deep learning;mode collapse;distribution similarity measurement;robustness of artificial neural network