Texture and art with deep neural networks

Gatys, LA; Ecker, AS; Bethge, M

doi:10.1016/j.conb.2017.08.019

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Texture and art with deep neural networks

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Bethge, M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Gatys, L., Ecker, A., & Bethge, M. (2017). Texture and art with deep neural networks. Current Opinion in Neurobiology, 46, 178-186. doi:10.1016/j.conb.2017.08.019.

Cite as: https://hdl.handle.net/21.11116/0000-0000-C2A8-7

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.