论文标题
用矢量流和灰度指导的绘图过程草图生成
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
论文作者
论文摘要
我们提出了一种新颖的图像到铅笔翻译方法，该方法不仅可以生成高质量的铅笔草图，还可以提供绘图过程。现有的铅笔草图算法基于纹理渲染而不是直接模仿中风，使它们无法显示绘图过程，而仅显示最终结果。为了应对这一挑战，我们首先建立了铅笔中风模仿机制。接下来，我们开发一个带有三个分支来指导卒中图的框架：第一个分支引导中风的方向，第二个分支确定了笔划的阴影，第三个分支进一步增强了细节。在此框架的指导下，我们每次都可以通过绘制一个笔画来制作铅笔素描。我们的方法是完全可解释的。与现有的铅笔图算法的比较表明，在纹理质量，样式和用户评估方面，我们的方法优于其他方法。
We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct imitation of strokes, making them unable to show the drawing process but only a final result. To address this challenge, we first establish a pencil stroke imitation mechanism. Next, we develop a framework with three branches to guide stroke drawing: the first branch guides the direction of the strokes, the second branch determines the shade of the strokes, and the third branch enhances the details further. Under this framework's guidance, we can produce a pencil sketch by drawing one stroke every time. Our method is fully interpretable. Comparison with existing pencil drawing algorithms shows that our method is superior to others in terms of texture quality, style, and user evaluation.
