FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis

	FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis
	Yujun Shen; Ping Luo; Junjie Yan; Xiaogang Wang; Xiaoou Tang
	2018
会议日期	2018
会议地点	美国
英文摘要	Face synthesis has achieved advanced development by using generative adversarial networks (GANs). Existing methods typically formulate GAN as a two-player game, where a discriminator distinguishes face
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13698]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Yujun Shen, Ping Luo,Junjie Yan,et al. FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis[C]. 见:. 美国. 2018.