Automatic or semi-automatic colorization can reduce the burden of illustrators in color illustration production, which is a research area with significant market demand. Texture details in eyes and hair influence the impression of character illustrations. Generally, these details are not expressed in line drawings. Many existing automatic or semi-automatic colorization methods do not target hand-drawn line drawings and it is difficult to paint texture details on such drawings. In this paper, we propose the semi-automatic colorization of character line drawings around faces with texture details. Our method uses a reference image as a color hint and transfers the textures of the reference image to a line drawing. To achieve this, our method uses semantic segmentation masks to match parts of the line drawing with the same parts of the reference image. We create two types of segmentation datasets to train a segmentation network that creates segmentation masks. We transfer texture details to a hand-drawn line drawing by mapping each part of the reference image to the corresponding part of the line drawing using segmentation masks. We show that our method is more effective for hand-drawn line drawings than existing methods using qualitative and quantitative evaluations.

中文翻译：

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手绘动漫线条画面部着色与纹理细节

自动或半自动着色可以减轻插画师在彩色插图制作中的负担，这是一个市场需求很大的研究领域。眼睛和头发的纹理细节会影响人物插画的印象。一般来说，这些细节不会用线条图来表达。许多现有的自动或半自动着色方法并不针对手绘线条图，并且很难在此类图上绘制纹理细节。在本文中，我们提出了对具有纹理细节的脸部周围的字符线条图进行半自动着色。我们的方法使用参考图像作为颜色提示，并将参考图像的纹理转移到线条图上。为了实现这一点，我们的方法使用语义分割掩模将线条图的部分与参考图像的相同部分进行匹配。我们创建两种类型的分割数据集来训练创建分割掩模的分割网络。我们通过使用分割掩模将参考图像的每个部分映射到线条图的相应部分，将纹理细节传输到手绘线条图。我们表明，我们的方法对于手绘线条图比使用定性和定量评估的现有方法更有效。