Generating videos with scene dynamics

We capitalize on large amounts of unlabeled video in order to learn a model of scene dynamics for both video recognition tasks (e.g. action classification) and video generation tasks (e.g. future prediction). We propose a generative adversarial network for video with a spatio-temporal convolutional...

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Bibliographic Details
Main Authors: Vondrick, Carl (Author), Pirsiavash, Hamed (Author), Torralba, Antonio (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: 2020-04-08T17:36:58Z.
Subjects:
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