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.

翻译：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，大多数当代方法局限于像素域；换言之，风格迁移方法通过修改图像像素来融入艺术风格。然而，真实的艺术作品是由画布上不同颜色的笔触构成的。基于像素的方法在表现这类图像时显得不自然。因此，本文讨论了一种在笔触域而非RGB域中表示图像的风格迁移方法，相较于基于像素的方法具有更好的视觉提升效果。