Open AccessEmerging Applications of Generative Adversarial Networks
Author(s) -
Xinyu Yu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012132
Subject(s) - adversarial system , generative grammar , computer science , generative adversarial network , field (mathematics) , data science , artificial intelligence , cognitive science , deep learning , psychology , mathematics , pure mathematics
With the idea of generative adversarial network (GAN) being brought up since 2014, a serial of research emerged in this field. While bring many exciting opportunities, these applications also raise the awareness of the risk of fake images which may cause huge damage. In this paper, we revisit the history of GAN’s development and summarize some important models and applications. Additionally, we discuss the worries which GAN would bring to people and possible solutions.