High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Ruben Villegas
Ruben Villegas
Harini Kannan
Harini Kannan
Arkanath Pathak
Arkanath Pathak

NeurIPS, 2019.

Cited by: 1|Bibtex|Views168

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 foregr...More

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