Synthesising Dynamic Textures using Convolutional Neural Networks

Alexander S. Ecker; Christina M. Funke; Leon A. Gatys; Matthias Bethge

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Synthesising Dynamic Textures using Convolutional Neural Networks

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arxiv 1702.07006 v1 pith:332SPPQV submitted 2017-02-22 cs.CV

Synthesising Dynamic Textures using Convolutional Neural Networks

Christina M. Funke , Leon A. Gatys , Alexander S. Ecker , Matthias Bethge This is my paper

classification cs.CV

keywords dynamicmodeltexturesconvolutionalneuralcomputeddemonstratefeature

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Here we present a parametric model for dynamic textures. The model is based on spatiotemporal summary statistics computed from the feature representations of a Convolutional Neural Network (CNN) trained on object recognition. We demonstrate how the model can be used to synthesise new samples of dynamic textures and to predict motion in simple movies.

Synthesising Dynamic Textures using Convolutional Neural Networks

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