Journal
TSINGHUA SCIENCE AND TECHNOLOGY
Volume 22, Issue 6, Pages 660-674Publisher
TSINGHUA UNIV PRESS
DOI: 10.23919/TST.2017.8195348
Keywords
image synthesis; image editing; constrained image synthesis; generative adversarial networks; image-to-image translation
Categories
Funding
- National Key Technology RD Program [2016YFB1001402]
- National Natural Science Foundation of China [61521002]
- Joint NSFC-ISF Research Program [61561146393]
- Research Grant of Beijing Higher Institution Engineering Research Center
- Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology
- EPSRC CDE [EP/L016540/1]
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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.
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