Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

ICLR 2018 Xiang WeiBoqing GongZixia LiuWei LuLiqiang Wang

Despite being impactful on a variety of problems and applications, the generative adversarial nets (GANs) are remarkably difficult to train. This issue is formally analyzed by \cite{arjovsky2017towards}, who also propose an alternative direction to avoid the caveats in the minmax two-player training of GANs... (read more)

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