Face Super-Resolution Through Wasserstein GANs

6 May 2017Zhimin ChenYuguang Tong

Generative adversarial networks (GANs) have received a tremendous amount of attention in the past few years, and have inspired applications addressing a wide range of problems. Despite its great potential, GANs are difficult to train... (read more)

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