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XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation. (arXiv:2204.05084v2 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/2204.05084
May 6, 2022, 1:10 a.m. | Wei Liu, Fangyue Liu, Fei Ding, Qian He, Zili Yi
cs.CV updates on arXiv.org arxiv.org
Generating a new font library is a very labor-intensive and time-consuming
job for glyph-rich scripts. Few-shot font generation is thus required, as it
requires only a few glyph references without fine-tuning during test. Existing
methods follow the style-content disentanglement paradigm and expect novel
fonts to be produced by combining the style codes of the reference glyphs and
the content representations of the source. However, these few-shot font
generation methods either fail to capture content-independent style
representations, or employ localized component-wise …
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