publication . Other literature type . 2016

Texture Modelling Using Convolutional Neural Networks

Gatys, Leon A; Ecker, Alexander S; Bethge, Matthias;
Open Access
  • Published: 13 May 2016
  • Publisher: Purdue University
  • Country: United States
Abstract
We introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition. Samples from the model are of high perceptual quality demonstrating the generative power of neural networks trained in a purely discriminative fashion. Within the model, textures are represented by the correlations between feature maps in several layers of the network. We show that across layers the texture representations increasingly capture the statistical properties of natural images while making object information more and more explicit. Extending this framework to texture transfer, we introduce A Neural Algorithm of Ar...
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Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_COMPUTERGRAPHICS
free text keywords: visual textures, texture synthesis, texture transfer, neural art, deep neural networks, Artificial Intelligence and Robotics, Graphics and Human Computer Interfaces
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Other literature type . 2016
Provider: Purdue E-Scholar
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