Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (8): 26-35.DOI: 10.3778/j.issn.1002-8331.2011-0322

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Research Progress of Generative Adversarial Network and Its Application in Image Processing

WANG Jinyu, YANG Haitao, LI Gaoyuan, ZHANG Changgong, FENG Bodi   

  1. 1.Graduate School, Space Engineering University, Beijing 101416, China
    2.School of Space Information, Space Engineering University, Beijing 101416, China
  • Online:2021-04-15 Published:2021-04-23



  1. 1.航天工程大学 研究生院,北京 101416
    2.航天工程大学 航天信息学院,北京 101416


Generative Adversarial Network(GAN) is an architecture based on the idea of confrontation. As a cutting-edge algorithm born under the background of the great development of artificial intelligence, GAN has made remarkable achievements in many fields of image processing. Starting with the traditional GAN algorithm, the model structure, mathematical mechanism, advantages and disadvantages of GAN are analyzed. The representative GAN variants are summarized, and the frontier applications of GAN in image processing are introduced. Combined with the existing problems in the development of GAN, the development trend of GAN is prospected.

Key words: Generative Adversarial Network(GAN), Nash equilibrium, structure variant, loss variant



关键词: 生成对抗网络, 纳什均衡, 结构变体, 损失变体