Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks

IEEE We study the problem of synthesizing a number of likely future frames from a single input image. In contrast to traditional methods that have tackled this problem in a deterministic or non-parametric way, we propose to model future frames in a probabilistic manner. Our probabilistic model makes...

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Bibliographic Details
Main Authors: Xue, Tianfan, Wu, Jiajun, Bouman, Katherine L, Freeman, William T
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/135825