Brush-Style Transfer through Constrained Convolutional Sparse Coding

Sara Shaheen
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引用次数: 1

Abstract

In this paper, a new technique to transfer the sketching style from one free-hand sketch to another is presented. Those sketches can be from different artists who used different brush styles while sketching. Given a unique brush-style from a sketch, our method transfers that style into another input sketch. Our brush-style transfer starts with an automatically constructed brush dictionary which proposes which sparse set of brushes are used at each part of the input sketch. After that, a oneto- one mapping is learned, between the unique brush sketch elements and the input sketch elements, by sparsely encoding input sketch with the brush dictionary. The quality of our brushstyle transfer is evaluated qualitatively by applying our technique on transferring multiple brush styles into input sketches. This is an addition to a quantitative evaluation through extensive subject case study were participants with 86% accuracy match a transferred sketch to the sketch they believe was used in the transfer.
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基于约束卷积稀疏编码的笔刷式传输
本文提出了一种将写生风格从一幅写生过渡到另一幅写生的新技术。这些草图可以来自不同的艺术家,他们在素描时使用了不同的笔刷风格。给定来自草图的独特笔刷样式,我们的方法将该样式转移到另一个输入草图中。我们的笔刷风格转换从一个自动构建的笔刷字典开始,该字典提出在输入草图的每个部分使用哪些稀疏的笔刷集。然后,通过使用画笔字典稀疏编码输入草图,学习唯一的画笔草图元素与输入草图元素之间的一对一映射。通过应用我们的技术将多种笔刷风格转移到输入草图中,我们的笔刷风格转移的质量被定性地评估。这是对定量评估的补充,通过广泛的主题案例研究,参与者将转移的草图与他们认为在转移中使用的草图匹配的准确率为86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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