A Survey of Image Synthesis and Editing with Generative Adversarial Networks  

作　　者：Xian Wu Kun Xu Peter Hall 

机构地区：[1]TNList and the Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China [2]the Department of Computer Science,University of Bath,Bath,UK

出　　处：《Tsinghua Science and Technology》2017年第6期660-674,共15页清华大学学报（自然科学版（英文版）

基　　金：supported by the National Key Technology R&D Program(No.2016YFB1001402);the National Natural Science Foundation of China(No.61521002);the Joint NSFC-ISF Research Program(No.61561146393);Research Grant of Beijing Higher Institution Engineering Research Center and Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology;supported by the EPSRC CDE(No.EP/L016540/1)

摘　　要：This paper presents a survey of image synthesis and editing with Generative Adversarial Networks（GANs）. GANs consist of two deep networks, a generator and a discriminator, which are trained in a competitive way. Due to the power of deep networks and the competitive training manner, GANs are capable of producing reasonable and realistic images, and have shown great capability in many image synthesis and editing applications.This paper surveys recent GAN papers regarding topics including, but not limited to, texture synthesis, image inpainting, image-to-image translation, and image editing.This paper presents a survey of image synthesis and editing with Generative Adversarial Networks（GANs）. GANs consist of two deep networks, a generator and a discriminator, which are trained in a competitive way. Due to the power of deep networks and the competitive training manner, GANs are capable of producing reasonable and realistic images, and have shown great capability in many image synthesis and editing applications.This paper surveys recent GAN papers regarding topics including, but not limited to, texture synthesis, image inpainting, image-to-image translation, and image editing.

关 键 词：image synthesis image editing constrained image synthesis generative adversarial networks imageto-image translation 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]