Efficient Video Generation on Complex Datasets

Cited by: 13|Bibtex|Views106
Other Links: arxiv.org

Abstract:

Generative models of natural images have progressed towards high fidelity samples by the strong leveraging of scale. We attempt to carry this success to the field of video modeling by showing that large Generative Adversarial Networks trained on the complex Kinetics-600 dataset are able to produce video samples of substantially higher c...More

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