Font style migration method and system based on multi-task generative adversarial network

A font style, multi-task technology, applied in the fields of computer vision and image processing, to achieve the effect of improving feature learning ability, improving generation quality, and improving capture ability

Active Publication Date: 2021-09-21
HEFEI HIGH DIMENSIONAL DATA TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0008] In view of the above problems, the present invention provides a font style migration method and system based on a multi-task and feature attention mechanism, which can overcome the problem that the font migration model in the prior art only supports single font conversion, and improve the font style. Migration effect, realizing font style migration with a small number of target fonts

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  • Font style migration method and system based on multi-task generative adversarial network
  • Font style migration method and system based on multi-task generative adversarial network
  • Font style migration method and system based on multi-task generative adversarial network

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Embodiment Construction

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] Therefore, the present invention proposes a font style migration method based on the multi-task feature attention generation confrontation network, wherein the multi-task confrontation network draws on the idea of ​​the star network structure (StarGAN): the generation network (that is, the generation network in the prese...

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Abstract

The invention provides a font style migration method and system based on a multi-task generative adversarial network, and the principle is that a cross-domain migration condition is added as the input of a generator, a plurality of font samples are input at the same time, the conversion from different font styles is supported, the problem of one-to-one font style migration is solved, and therefore, migration among a plurality of font styles is realized; according to the invention, when the generative adversarial network model is constructed, a feature attention module is added in a generator of the generative adversarial network, the feature learning ability of the generator in the generative adversarial network is improved, and the image generation quality is improved by improving the capture ability of local detail features of the font pictures.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, and in particular relates to a font style migration method and system based on a multi-task and feature attention mechanism generating confrontation network. Background technique [0002] The design of font style is an extremely difficult job, and it is still considered the prerogative of professional designers, and the existing software systems do not have the creativity of professional designers. However, most commercial font products are actually hand-designed with specific requirements for certain glyph attributes, such as italic, serif, cursive, width, angle, etc. [0003] The Chinese font style design is particularly difficult. According to statistics, in Chinese characters, 1000 commonly used Chinese characters can cover about 92% of written materials, 2000 Chinese characters can cover more than 98%, and 3000 characters can cover 99%. Therefore, at least about 2800 sing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/60G06K9/62G06N3/04G06N3/08
CPCG06T11/60G06N3/08G06N3/045G06F18/241G06F18/214
Inventor 田辉刘其开
Owner HEFEI HIGH DIMENSIONAL DATA TECH CO LTD
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