Papers › Preserving Color in Neural Artistic Style Transfer

Preserving Color in Neural Artistic Style Transfer

19 Jun 2016arXiv:1606.05897archive 2025-07-28

Leon A. Gatys, Matthias Bethge, Aaron Hertzmann, Eli Shechtman

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.

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JasperNg/ColorPreservationYUV mentioned on GitHubGPL-3.0 report
RajeshNN/neural-style-transfer-pytorch mentioned on GitHubpytorch report
cysmith/neural-style-tf mentioned on GitHubtfGPL-3.0 report
parisGPB/Neural-Style-Transfer mentioned on GitHubtf report
rrmina/neural-style-pytorch mentioned on GitHubpytorch report
telecombcn-dl/2018-dlai-team5 mentioned on GitHubtf report

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