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Automatic Generation of Chinese Handwriting via Fonts Style Representation Learning
arXiv - CS - Computer Vision and Pattern Recognition Pub Date : 2020-03-27 , DOI: arxiv-2004.03339
Fenxi Xiao, Bo Huang, Xia Wu

In this paper, we propose and end-to-end deep Chinese font generation system. This system can generate new style fonts by interpolation of latent style-related embeding variables that could achieve smooth transition between different style. Our method is simpler and more effective than other methods, which will help to improve the font design efficiency

中文翻译:

通过字体样式表示学习自动生成汉字

在本文中,我们提出了端到端的深度中文字体生成系统。该系统可以通过对潜在风格相关的嵌入变量进行插值来生成新的风格字体,从而实现不同风格之间的平滑过渡。我们的方法比其他方法更简单有效,有助于提高字体设计效率
更新日期:2020-04-08
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