A review on generative adversarial networks: algorithms, theory, and applications

• Main Authors: Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Deep Learning; Generative Adversarial Networks
• Online Access: https://hdl.handle.net/10356/162749
• Institution: Nanyang Technological University

Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms have been proposed. However, few comprehensive studies exist explaining the connections among different GANs variants and how they have evolv...