Least Squares Generative Adversarial Networks

ICCV 2017 Xudong MaoQing LiHaoran XieRaymond Y. K. LauZhen WangStephen Paul Smolley

Unsupervised learning with generative adversarial networks (GANs) has proven hugely successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross entropy loss function... (read more)

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