There have been many successful implementations of neural style transfer in recent years. In most of these works, the stylization process is confined to the pixel domain. However, we argue that this representation is unnatural because paintings usually consist of brushstrokes rather than pixels. We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. Our approach significantly improves visual quality and enables additional control over the stylization process such as controlling the flow of brushstrokes through user input. We provide qualitative and quantitative evaluations that show the efficacy of the proposed parameterized representation.

翻译：近些年来,许多神经风格的传输都取得了成功,在这些工程中,大多数的螺旋化过程都局限于像素领域。然而,我们争辩说,这种表达方式是不正常的,因为绘画通常由刷子组成,而不是像素组成。我们提出一种方法,通过优化参数化的刷子而不是像素来使图像的螺旋化,并进一步引入一个简单的可区分的绘制机制。我们的方法极大地改善了视觉质量,并使得能够对象素化过程进行更多的控制,例如控制通过用户输入的刷子流。我们提供了质量和数量评估,以显示拟议的参数化代表的功效。