High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Arkanath Pathak
Arkanath Pathak
Harini Kannan
Harini Kannan

2989705138, pp. 81-91, 2019.

Cited by: 5|Bibtex|Views196
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Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

Predicting future video frames is extremely challenging, as there are many factors of variation that make up the dynamics of how frames change through time. Previously proposed solutions require complex inductive biases inside network architectures with highly specialized computation, including segmentation masks, optical flow, and fore...More

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