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About this paper
Hao Yuan, Yuxuan Luo, Xing Chen, Zhouhui Lian
VecFontLLM generates editable Chinese vector glyphs directly by first predicting and refining endpoint anchors, then adding Bézier control points to shape curves. For difficult characters, it selects among component candidates. On the Base Test Set, multi-stage generation lowers FID from 6.271 to 3.720 versus direct generation, though this does not isolate anchor factorization alone; results are weaker on unseen fonts, and complex glyphs can still fail.
Key insights
- Decoupling the vector generation process into anchor-first stages effectively manages the complexity of tightly coupled geometric information in Chinese glyphs, significantly improving generation fidelity.
- A dedicated vector style encoder is crucial for learning generalized font-level style cues from reference glyphs, leading to better style transfer than general image encoders.
- Applying confidence-guided selection at the component level during generation proves more robust than glyph-level selection, preventing early structural errors from cascading in complex character synthesis.
Summary by alphaXiv.
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