Synthesising Dynamic Textures using Convolutional Neural Networks

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

Abstract: 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.