English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A Neural Algorithm of Artistic Style

Gatys, L., Ecker, A., & Bethge, M. (2015). A Neural Algorithm of Artistic Style. Nature Communications, submitted.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4422-D Version Permalink: http://hdl.handle.net/21.11116/0000-0000-B7D5-1
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
http://arxiv.org/abs/1508.06576 (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Gatys, LA, Author
Ecker, AS1, 2, Author              
Bethge, M1, Author              
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

Content

show
hide
Free keywords: -
 Abstract: In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. However, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.

Details

show
hide
Language(s):
 Dates: 2015-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: GatysEB2015_3
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nature Communications
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: submitted Sequence Number: - Start / End Page: - Identifier: -