Neural Style Representations and the Large-Scale Classification of Artistic Style
Computer Vision and Pattern Recognition
2019-06-04 v1 Artificial Intelligence
Information Retrieval
Applications
Machine Learning
Abstract
The artistic style of a painting is a subtle aesthetic judgment used by art historians for grouping and classifying artwork. The recently introduced `neural-style' algorithm substantially succeeds in merging the perceived artistic style of one image or set of images with the perceived content of another. In light of this and other recent developments in image analysis via convolutional neural networks, we investigate the effectiveness of a `neural-style' representation for classifying the artistic style of paintings.
Keywords
Cite
@article{arxiv.1611.05368,
title = {Neural Style Representations and the Large-Scale Classification of Artistic Style},
author = {Jeremiah Johnson},
journal= {arXiv preprint arXiv:1611.05368},
year = {2019}
}
Comments
10 pages, 4 figures, 2 tables