A Neural Algorithm of Artistic Style

@article{Gatys2015ANA,
  title={A Neural Algorithm of Artistic Style},
  author={Leon A. Gatys and Alexander S. Ecker and Matthias Bethge},
  journal={ArXiv},
  year={2015},
  volume={abs/1508.06576}
}
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… CONTINUE READING

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 731 CITATIONS

Cross-Domain Face Sketch Synthesis

Mingjin Zhang, Jing Zhang, +3 authors Xinbo Gao
  • IEEE Access
  • 2019
VIEW 8 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Progressive Color Transfer With Dense Semantic Correspondences

VIEW 16 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

A survey on Image Data Augmentation for Deep Learning

  • Journal of Big Data
  • 2019
VIEW 5 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Artist Style Transfer Via Quadratic Potential

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

CS 229 Project Final Report : Neural Style Transfer

VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation

Yijie Xu, Arushi Goel
  • ArXiv
  • 2019
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2015
2020

CITATION STATISTICS

  • 146 Highly Influenced Citations

  • Averaged 193 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 24 REFERENCES

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

U. Güçlü, Gerven, M.A.J. v
  • The Journal of Neuroscience
  • 2015
VIEW 1 EXCERPT

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Cadieu, F C.
  • PLoS Comput Biol 10,
  • 2014

ImageNet Large Scale Visual Recognition Challenge

  • International Journal of Computer Vision
  • 2014

Performance-optimized hierarchical models predict neural responses in higher visual cortex.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 2014

Understanding deep image representations by inverting them

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2014