GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks

Font generation experiment using GlyphGAN, including legibility, diversity, and style consistency evaluation.

Data and Resources

Cite this as

Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida (2024). Dataset: GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. https://doi.org/10.57702/ihb77bzv

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1905.12502
Author Hideaki Hayashi
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Kohtaro Abe
Seiichi Uchida