Texture plays an important role in cartoon images to represent materials of objects and enrich visual attractiveness. However, manually crafting a cartoon texture is not easy, so amateurs usually directly use cartoon textures downloaded from the Internet. Unfortunately, Internet resources are quite limited and often patented, which restrict the users from generating visually pleasant and personalized cartoon textures. In this paper, we propose a deep learning based method to generate cartoon textures from natural textures. Different from the existing photo cartoonization methods that only aim to generate cartoonic images, the key to our method is to generate cartoon textures that are both cartoonic and regular. To achieve this goal, we propose a regularization module to generate a regular natural texture with similar appearance as the input, and a cartoonization module to cartoffonize the regularized natural texture into a regular cartoon texture. Our method successfully produces cartoonic and regular textures from various natural textures.

纹理在卡通图像中扮演重要角色，以代表物体的材料并丰富视觉吸引力。但是，手工制作卡通纹理并不容易，因此业余爱好者通常直接使用从Internet下载的卡通纹理。不幸的是，Internet资源非常有限，并且经常申请了专利，这限制了用户生成视觉上愉悦和个性化的卡通纹理。在本文中，我们提出了一种基于深度学习的方法来从自然纹理生成卡通纹理。与仅用于生成卡通图像的现有照片卡通化方法不同，我们方法的关键是生成既卡通又规则的卡通纹理。为了实现这一目标，我们提出了一个正则化模块，以生成外观与输入相似的规则自然纹理，以及卡通化模块，用于将正则化的自然纹理分解为规则的卡通纹理。我们的方法成功地从各种自然纹理中生成了卡通和规则纹理。