Unsupervised font generation network integrating content and style representation

Generating Chinese fonts with a large number of characters is a challenging task. Existing methods mainly rely on large amounts of paired data for supervised learning, but collecting such data is labor-intensive and difficult to scale to new styles of fonts. To assist font designers in improving the...

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Bibliographic Details

Main Authors:	Liu, Yu, Ding, Yang, Binti Khalid, Fatimah, Li, Xin, Mustaffa, Mas Rina, Azman, Azreen
Format:	Article
Language:	en
Published:	Institute of Computing Technology 2025
Subjects:	Software Computer Graphics and Computer-Aided Design
Online Access:	http://psasir.upm.edu.my/id/eprint/123157/1/123157.pdf http://psasir.upm.edu.my/id/eprint/123157/ https://www.sciengine.com/JCADC/doi/10.3724/SP.J.1089.2023-00397
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