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Generative Adversarial Networks: A Survey and Taxonomy
— ML Review (@ml_review) June 11, 2019
By @wangvilla @sheqi1991 @tomasward
Covering 7 architecture-variant GANs and 9 loss-variant GANs focusing on
(1) High quality image generation
(2) Diverse image generation
(3) Stable training https://t.co/tI9o6Xepr4 pic.twitter.com/Mx6SRCgtzv