Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN

Wasserstein GAN(WGAN) is a model that minimizes the Wasserstein distance between a data distribution and sample distribution. Recent studies have proposed stabilizing the training process for the WGAN and implementing the Lipschitz constraint... (read more)

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