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Manga Filling Style Conversion with Screentone Variational Autoencoder

机译:Manga填充式转换与屏幕变形AutoEncoder

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摘要

Western color comics and Japanese-style screened manga are two popularcomic styles. They mainly differ in the style of region-filling. However, theconversion between the two region-filling styles is very challenging, andmanually done currently. In this paper, we identify that the major obstaclein the conversion between the two filling styles stems from the differencebetween the fundamental properties of screened region-filling and coloredregion-filling. To resolve this obstacle, we propose a screentone variationalautoencoder, ScreenVAE, to map the screened manga to an intermediate domain.This intermediate domain can summarize local texture characteristicsand is interpolative. With this domain, we effectively unify the properties ofscreening and color-filling, and ease the learning for bidirectional translationbetween screened manga and color comics. To carry out the bidirectionaltranslation, we further propose a network to learn the translation between the intermediate domain and color comics. Our model can generate qualityscreened manga given a color comic, and generate color comic that retainsthe original screening intention by the bitonal manga artist. Several resultsare shown to demonstrate the effectiveness and convenience of the proposedmethod. We also demonstrate how the intermediate domain can assist otherapplications such as manga inpainting and photo-to-comic conversion.
机译:西式颜色漫画和日式筛选漫画是两个人气漫画风格。他们主要在地区填充风格不同。然而两种区域填充风格之间的转换非常具有挑战性,而且目前手动完成。在本文中,我们确定了主要障碍在两种填充样式之间的转换中,源于差异在筛选区域填充和着色的基本性质之间区域填充。要解决这个障碍,我们提出了一个截图变分AutoEncoder,Screenvae,将屏蔽的漫画映射到中间域。这种中间域可以总结局部纹理特征并且是插入的。有了这个领域,我们有效地统一的属性筛选和颜色填充,缓解了双向翻译的学习在筛选的漫画和颜色漫画之间。进行双向翻译,我们进一步提出了一个网络来学习中间域和颜色漫画之间的翻译。我们的模型可以产生质量筛选漫画给出了一种颜色漫画,并产生保留的颜色漫画沥青漫画艺术家的原始筛选意图。几个结果被证明展示了提议的有效性和便利性方法。我们还证明了中间域如何助攻漫画批量和光到漫画转换等应用。

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