# Artist Style Transfer Via Quadratic Potential

arXiv: https://arxiv.org/abs/1902.11108 · HTML: https://mlsanity.com/paper/1902.11108/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Feb 2019.

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

- [Unified Style Transfer](https://mlsanity.com/paper/2110.10481/) (2021)

## Abstract (arXiv)

In this paper we address the problem of artist style transfer where the painting style of a given artist is applied on a real world photograph. We train our neural networks in adversarial setting via recently introduced quadratic potential divergence for stable learning process. To further improve the quality of generated artist stylized images we also integrate some of the recently introduced deep learning techniques in our method. To our best knowledge this is the first attempt towards artist style transfer via quadratic potential divergence. We provide some stylized image samples in the supplementary material. The source code for experimentation was written in PyTorch and is available online in my GitHub repository.