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Artistic Text Style Transfer based on Generative Adversarial Networks

机译：基于生成对冲网络的艺术文本方式转移

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摘要

Artistic text style transfer refers to transferring the art style of a certain artistic text image to another text image. However, the generation of an artistic word requires professional designers to spend a lot of time to design by hand. The previous style transfer method is to transfer the overall style, which is not suitable for highly structured text images. In this paper, we propose a kind of artistic text style transfer based on Generative Adversarial Networks. By disassociating the font features of the text image and the style features of the artistic text image, and then reorganizing the font features and style features, a new artistic text image is generated. Experimental results show that the method in this paper can generate better style transfer effect than other methods.
机译：艺术文本样式转移是指将某个艺术文本图像的艺术风格转移到另一个文本图像。然而，艺术词的生成需要专业设计师花费大量时间用手设计。以前的样式传输方法是传输整体风格，这不适合高度结构化的文本图像。本文提出了一种基于生成对抗网络的艺术文本方式转移。通过解除文本图像的字体特征和艺术文本映像的样式功能，然后重新组织字体特征和样式功能，生成新的艺术文本图像。实验结果表明，本文的方法可以产生比其他方法更好的样式转移效果。

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