HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN

In this paper, we present a novel network for high resolution video generation. Our network uses ideas from Wasserstein GANs by enforcing k-Lipschitz constraint on the loss term and Conditional GANs using class labels for training and testing... (read more)

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