Towards the Algorithmic Detection of Artistic Style

Academic Article


  • The artistic style of a painting can be sensed by the average observer, but algorithmically detecting a painting’s style is a difficult problem. We propose a novel method for detecting the artistic style of a painting that is motivated by the neural-style algorithm of Gatys et. al. and is competitive with other recent algorithmic approaches to artistic style detection.
  • Status

    Publication Date

  • January 2019
  • Keywords

  • Artificial intelligence
  • computer vision
  • deep learning
  • machine learning
  • neural networks
  • representation learning
  • style transfer
  • Digital Object Identifier (doi)

    Start Page

  • 76
  • End Page

  • 81
  • Volume

  • 10
  • Issue

  • 1