Texture and art with deep neural networks.

Journal: Current opinion in neurobiology
Published Date:

Abstract

Although the study of biological vision and computer vision attempt to understand powerful visual information processing from different angles, they have a long history of informing each other. Recent advances in texture synthesis that were motivated by visual neuroscience have led to a substantial advance in image synthesis and manipulation in computer vision using convolutional neural networks (CNNs). Here, we review these recent advances and discuss how they can in turn inspire new research in visual perception and computational neuroscience.

Authors

  • Leon A Gatys
    Werner Reichardt Centre for Integrative Neuroscience and Institute of Theoretical Physics, University of Tübingen, Germany; Bernstein Center for Computational Neuroscience, Tübingen, Germany; Graduate School for Neural Information Processing, Tübingen, Germany.
  • Alexander S Ecker
    Werner Reichardt Centre for Integrative Neuroscience and Institute of Theoretical Physics, University of Tübingen, Germany; Bernstein Center for Computational Neuroscience, Tübingen, Germany; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
  • Matthias Bethge
    University of Tübingen, Tübingen, Germany.