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Few-Shot Font Generation by Learning Fine-Grained Local Styles. (arXiv:2205.09965v3 [cs.CV] UPDATED)
Sept. 2, 2022, 1:15 a.m. | Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
cs.CV updates on arXiv.org arxiv.org
Few-shot font generation (FFG), which aims to generate a new font with a few
examples, is gaining increasing attention due to the significant reduction in
labor cost. A typical FFG pipeline considers characters in a standard font
library as content glyphs and transfers them to a new target font by extracting
style information from the reference glyphs. Most existing solutions explicitly
disentangle content and style of reference glyphs globally or component-wisely.
However, the style of glyphs mainly lies in the …
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