# Preserving Color in Neural Artistic Style Transfer

arXiv: https://arxiv.org/abs/1606.05897 · HTML: https://mlsanity.com/paper/1606.05897/

## Key facts

- Cited by 20 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Jun 2016.

## Built on by (most cited first, 20 of 20)

- [ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows](https://mlsanity.com/paper/2103.16877/) (2021)
- [Facial Attribute Transformers for Precise and Robust Makeup Transfer](https://mlsanity.com/paper/2104.02894/) (2021)
- [PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal](https://mlsanity.com/paper/2105.12324/) (2021)
- [S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention](https://mlsanity.com/paper/2210.12381/) (2022)
- [Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack](https://mlsanity.com/paper/2401.09673/) (2024)
- [ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization](https://mlsanity.com/paper/2308.12452/) (2023)
- [CDST: Color Disentangled Style Transfer for Universal Style Reference Customization](https://mlsanity.com/paper/2506.13770/) (2025)
- [CAMS: Color-Aware Multi-Style Transfer](https://mlsanity.com/paper/2106.13920/) (2021)
- [Controllable Multi-domain Semantic Artwork Synthesis](https://mlsanity.com/paper/2308.10111/) (2023)
- [Graph Inverse Style Transfer for Counterfactual Explainability](https://mlsanity.com/paper/2505.17542/) (2025)
- [PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering](https://mlsanity.com/paper/2207.12585/) (2022)
- [Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer](https://mlsanity.com/paper/2410.01366/) (2024)
- [Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning](https://mlsanity.com/paper/2606.14746/) (2026)
- [Multi-Pair Text Style Transfer on Unbalanced Data](https://mlsanity.com/paper/2106.10608/) (2021)
- [Signature and Log-signature for the Study of Empirical Distributions Generated with GANs](https://mlsanity.com/paper/2203.03226/) (2022)
- [Learning with Signatures](https://mlsanity.com/paper/2204.07953/) (2022)
- [Edge Enhanced Image Style Transfer via Transformers](https://mlsanity.com/paper/2301.00592/) (2023)
- [Neural Artistic Style Transfer with Conditional Adversaria](https://mlsanity.com/paper/2302.03875/) (2023)
- [RoNet: Rotation-oriented Continuous Image Translation](https://mlsanity.com/paper/2404.04474/) (2024)
- [Neural Artistic Style and Color Transfer Using Deep Learning](https://mlsanity.com/paper/2508.08608/) (2025)

## Abstract (arXiv)

This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.). The original algorithm transforms an image to have the style of another given image. For example, a photograph can be transformed to have the style of a famous painting. Here we address a potential shortcoming of the original method: the algorithm transfers the colors of the original painting, which can alter the appearance of the scene in undesirable ways. We describe simple linear methods for transferring style while preserving colors.