Generative Adversarial Networks: Introduction and Outlook
Kunfeng Wang1,2; Chao Gou1,3; Yanjie Duan1,3; Yilun Lin1,3; Xinhu Zheng4; Fei-Yue Wang1,5
2017-10
发表期刊IEEE/CAA Journal of Automatica Sinica
卷号4期号:4页码:588-598
摘要Recently, generative adversarial networks (GANs) have become a research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs comprise a generator and a discriminator, both trained under the adversarial learning idea. The goal of GANs is to estimate the potential distribution of real data samples and generate new samples from that distribution. Since their initiation, GANs have been widely studied due to their enormous prospect for applications, including image and vision computing, speech and language processing, etc. In this review paper, we summarize the state of the art of GANs and look into the future. Firstly, we survey GANs’ proposal background, theoretic and implementation models, and application fields. Then, we discuss GANs’ advantages and disadvantages, and their development trends. In particular, we investigate the relation between GANs and parallel intelligence, with the conclusion that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration. Clearly, GANs can provide substantial algorithmic support for parallel intelligence.
关键词Acp Approach Adversarial Learning Generative Adversarial Networks (Gans) Generative Models Parallel Intelligence Zero-sum Game
DOI10.1109/JAS.2017.7510583
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20215
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.Qingdao Academy of Intelligent Industries
3.University of Chinese Academy of Sciences
4.University of Minnesota
5.National University of Defense Technology
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Kunfeng Wang,Chao Gou,Yanjie Duan,et al. Generative Adversarial Networks: Introduction and Outlook[J]. IEEE/CAA Journal of Automatica Sinica,2017,4(4):588-598.
APA Kunfeng Wang,Chao Gou,Yanjie Duan,Yilun Lin,Xinhu Zheng,&Fei-Yue Wang.(2017).Generative Adversarial Networks: Introduction and Outlook.IEEE/CAA Journal of Automatica Sinica,4(4),588-598.
MLA Kunfeng Wang,et al."Generative Adversarial Networks: Introduction and Outlook".IEEE/CAA Journal of Automatica Sinica 4.4(2017):588-598.
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