Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
December 16, 2020 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang
arXiv ID
2012.09004
Category
cs.CV: Computer Vision
Citations
21
Venue
AAAI Conference on Artificial Intelligence
Last Checked
5 months ago
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 quality, style, and user evaluation.
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