用笔触域替代像素域，让风格迁移更接近真实绘画
Parameterized Brushstroke Style Transfer
- 将图像表示从像素转为笔触，模拟真实绘画过程
- 在视觉效果上优于传统像素级风格迁移方法
- 适合艺术创作与数字绘画领域研究者
基于计算机视觉的风格迁移技术已广泛应用多年，用于表现艺术风格。然而，大多数现代方法局限于像素域，即通过修改图像像素来融入艺术风格。但真实的艺术作品是由画布上不同颜色的笔触构成的。像素级方法在表现这类图像时显得不自然。因此，本文提出一种在笔触域而非RGB域进行风格迁移的方法，该方法能更好地还原艺术风格，在视觉效果上显著优于传统的像素级方法。
原文摘要 · Abstract (English)
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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