Generating videos with scene dynamics

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...

Bibliografske podrobnosti
Main Authors:	Vondrick, Carl, Pirsiavash, Hamed, Torralba, Antonio
Drugi avtorji:	Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format:	Article
Jezik:	English
Izdano:	2020
Online dostop:	https://hdl.handle.net/1721.1/124545

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