Dataset and resulting model of san-serif font 96 basic characters trained using StarGAN. Dataset contains 22,025 images of Font Glyph Characters divided in 96 categories corresponding to Utf-8 character encoding.

• Tutorial and Further Documentation

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi^1,2, Minje Choi^1,2, Munyoung Kim^2,3, Jung-Woo Ha², Sung Kim^2,4, Jaegul Choo^1,2
1Korea University, ²Clova AI Research, NAVER Corp.
³The College of New Jersey, ⁴Hong Kong University of Science and Technology
https://arxiv.org/abs/1711.09020

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