MMCGAN: Generative Adversarial Network with Explicit Manifold Prior

18 Jun 2020Guanhua ZhengJitao SangChangsheng Xu

Generative Adversarial Network(GAN) provides a good generative framework to produce realistic samples, but suffers from two recognized issues as mode collapse and unstable training. In this work, we propose to employ explicit manifold learning as prior to alleviate mode collapse and stabilize training of GAN... (read more)

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