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, Pirsiavash, Hamed, Torralba, Antonio
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: 2020
Online Access:https://hdl.handle.net/1721.1/124545