Parameterized Brushstroke Style Transfer

Uma Meleti; Siyu Huang

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arXiv · 2603.07776

Parameterized Brushstroke Style Transfer

Uma Meleti·Siyu Huang

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Abstract

Computer Vision-based Style Transfer techniques have been used for many years to represent artistic style. However, most contemporary methods have been restricted to the pixel domain; in other words, the style transfer approach has been modifying the image pixels to incorporate artistic style. However, real artistic work is made of brush strokes with different colors on a canvas. Pixel-based approaches are unnatural for representing these images. Hence, this paper discusses a style transfer method that represents the image in the brush stroke domain instead of the RGB domain, which has better visual improvement over pixel-based methods.

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Uma Meleti, Siyu Huang. 2026-03-08. Parameterized Brushstroke Style Transfer. https://arxiv.org/abs/2603.07776

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