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.
Abstract (translated)
基于计算机视觉的风格迁移技术多年来一直被用于表现艺术风格。然而，大多数现代方法都局限于像素领域；换句话说，风格迁移的方法主要是通过修改图像像素来融入艺术风格。但是，真正的艺术品是由不同颜色的笔触在画布上构成的。基于像素的方法对于表示这些图片来说是不自然的。因此，本文提出了一种新的风格迁移方法，它不是在RGB域中表现图像，而是在笔刷痕迹域中进行，这种方法在视觉效果上的改进要优于传统的基于像素的方法。
URL
https://arxiv.org/abs/2603.07776
