Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang

TL;DR
This paper introduces a novel image-to-pencil translation framework that produces high-quality sketches with an interpretable drawing process guided by vector flow and grayscale, outperforming existing texture-based methods.
Contribution
The method uniquely imitates pencil strokes and guides the drawing process through three interpretable branches, enabling stroke-by-stroke sketch generation.
Findings
Produces high-quality, style-consistent sketches
Outperforms existing algorithms in texture and style
Offers an interpretable, stroke-by-stroke drawing process
Abstract
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…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Advanced Vision and Imaging · 3D Shape Modeling and Analysis
