Parameterized Brushstroke Style Transfer

• URL: http://arxiv.org/abs/2603.07776v1
• Date: Sun, 08 Mar 2026 19:33:36 GMT
• Title: Parameterized Brushstroke Style Transfer
• Abstract summary: Computer Vision-based Style Transfer techniques have been used for many years to represent artistic style.<n>This paper discusses a style transfer method that represents the image in the brush stroke domain instead of the RGB domain.
• Score: 13.070143225543724
• License: http://creativecommons.org/licenses/by/4.0/
• 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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