Font style migration method based on conditional cycle consistency generative adversarial network

Abstract

The invention discloses a font style migration method based on a conditional cycle consistency generative adversarial network, and the method specifically comprises the steps: building a source font data set and a target font data set, and carrying out the normalization processing along with the data sets; building a font style migration network structure, wherein a network is composed of a generator based on a conditional generative adversarial network and a residual network and a discrimination network based on PatchGAN; inputting source fonts and label pictures into the generator, and generating target style fonts; enabling the discriminator network to perform authenticity discrimination on the generated target font and the real target font corresponding to the generated target font, optimizing the Chinese character migration network by means of the idea of adversarial network training to achieve mutual mapping migration of two font styles, reduce manual interference in the font generation process, and improve the automation degree of font generation.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a font style migration method based on conditional cycle consistency generation confrontation network. Background technique [0002] At present, there are many researches on the font generation of English and Arabic characters, but there are few researches in the field of Chinese font generation. up the challenge. The Chinese character library shows that there are more than 90,000 Chinese characters in my country, and the Chinese character code standard GB2312 in China contains 6763 commonly used Chinese character codes. With the rapid rise of Internet media, people will come into contact with a variety of fonts in social networking and office work. People's demand for multi-style and personalized Chinese character font applications is increasing. However, the current Chinese character font production cycle is long and inefficient. The production of fonts re...

AI Technical Summary

Problems solved by technology

With the rapid rise of Internet media, people will come into contact with a variety of fonts in social networking and office work. People's demand for multi-style and personalized Chinese character font applications is increasing. However, the current Chinese character font production cycle is long and inefficient. Font production relies on manual experience and design, and the production technology has a low degree of automation

[0003] The early research on glyph migration mainly separated the skeleton content and style of the font, and then deformed and matched the skeletons of the two fonts, extracted the features of the style and mapped them to the deformed skeleton, and generated style fonts. The deformation algorithm is more complicated, and the efficiency of generating fonts is low

Later, it was proposed to decompose the strokes of Chinese characters, map and match the strokes of the two fonts, and use the matching strokes to reorganize the style fonts. However, the stroke decomposition and reorganization process of this method is cumbersome and greatly affected by prior knowledge.

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