# Neural Style Representations and the Large-Scale Classification of Artistic Style

arXiv: https://arxiv.org/abs/1611.05368 · HTML: https://mlsanity.com/paper/1611.05368/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Nov 2016.

## Built on by (most cited first, 1 of 1)

- [Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification](https://mlsanity.com/paper/2507.23436/) (2025)

## Abstract (arXiv)

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.