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Few-shot Font Generation with Weakly Supervised Localized Representations
[article]
2021
arXiv
pre-print
Automatic few-shot font generation aims to solve a well-defined, real-world problem because manual font designs are expensive and sensitive to the expertise of designers. Existing methods learn to disentangle style and content elements by developing a universal style representation for each font style. However, this approach limits the model in representing diverse local styles, because it is unsuitable for complicated letter systems, for example, Chinese, whose characters consist of a varying
arXiv:2112.11895v1
fatcat:tqt6vpymmjdoxghfxnp25oymde