论文标题
Calligan：风格和结构意识的中国书法角色生成器
CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator
论文作者
论文摘要
中文书法是汉字的写作，是一种用刷子表演的艺术形式，因此汉字丰富了形状和细节。最近的研究表明，可以使用单个模型通过多种样式的图像到图像翻译生成汉字。我们通过将汉字的组件信息纳入其模型来提出一种新方法的新方法。我们还提出了一个改进的网络，以将字符转换为其嵌入空间。实验表明，该方法对通过数值评估和人类学科研究测量的最先进方法产生了高质量的中国书法特征。
Chinese calligraphy is the writing of Chinese characters as an art form performed with brushes so Chinese characters are rich of shapes and details. Recent studies show that Chinese characters can be generated through image-to-image translation for multiple styles using a single model. We propose a novel method of this approach by incorporating Chinese characters' component information into its model. We also propose an improved network to convert characters to their embedding space. Experiments show that the proposed method generates high-quality Chinese calligraphy characters over state-of-the-art methods measured through numerical evaluations and human subject studies.
