2017, 4(4): 588-598.
doi: 10.1109/JAS.2017.7510583
Abstract:
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 ...
Kunfeng Wang, Chao Gou, Yanjie Duan, Yilun Lin, Xinhu Zheng and Fei-Yue Wang, "Generative Adversarial Networks:Introduction and Outlook," IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 588-598, Oct. 2017. doi: 10.1109/JAS.2017.7510583.