Non-Parametric Priors For Generative Adversarial Networks

16 May 2019Rajhans SinghPavan TuragaSuren JayasuriyaRavi GargMartin W. Braun

The advent of generative adversarial networks (GAN) has enabled new capabilities in synthesis, interpolation, and data augmentation heretofore considered very challenging. However, one of the common assumptions in most GAN architectures is the assumption of simple parametric latent-space distributions... (read more)

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