发表机构
Fuzhou University; Peking University（福州大学; 北京大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究旨在解决直接生成中文矢量字体的难题，提出VecFontLLM这一基于锚点引导的多模态大语言模型，通过锚点预测、细化及贝塞尔控制点完成来合成矢量字形，实现高质量少样本合成，实验显示其相比现有方法有显著优势。
AI 中文摘要
直接生成中文矢量字体是一个具有挑战性且仍在研究的问题。中文矢量字形包含复杂的组件结构、锚点布局和贝塞尔曲线细节，不同尺度下工作，但标准矢量序列将它们写在一个长序列中，使矢量字体合成具有挑战性。现有直接矢量生成器在复杂字符上常失败，而光栅域方法需后续矢量化合成字形图像。本文提出VecFontLLM，一种基于锚点引导的多模态大语言模型，用于直接少样本合成中文矢量字体。关键思想是通过锚点生成矢量字形。具体而言，先预测并细化锚点框架以固定组件和轮廓的粗略布局，然后完成贝塞尔控制点以恢复局部曲率和样式。测试时，置信度引导生成链采样多个组件候选并从最高置信度的开始继续合成，提高复杂字形的稳定性。首次在矢量域直接高质量少样本合成复杂中文矢量字形，无需光栅生成或矢量化。在多个中文字体数据集上的实验表明，相对于现有矢量字体合成方法有显著改进，与光栅域基线相比字形渲染质量有竞争力，且矢量命令分布接近真实字体。
英文摘要
Direct generation of Chinese vector fonts is a challenging and ongoing problem. A Chinese vector glyph contains complex component structure, anchor layout, and Bézier curve details, which work at different scales, but a standard vector sequence writes them together in one long sequence, making the task of vector font synthesis challenging. Existing direct vector generators often fail on complex characters, while raster-domain methods must vectorize the synthesized glyph images afterward. To address the above-mentioned problem, this paper proposes VecFontLLM, an anchor-guided multimodal large language model for direct few-shot synthesis of Chinese vector fonts. Our key idea is to generate vector glyphs through anchors rather than a standard vector sequence. Specifically, the proposed VecFontLLM first predicts and refines an anchor scaffold that fixes the coarse layout of components and contours, and then completes Bézier control points to recover local curvature and style. At test time, a confidence-guided generation chain samples multiple component candidates and continues synthesis from the highest-confidence one, improving stability for complex glyphs. This work demonstrates, for the first time, high-quality few-shot synthesis of complex Chinese vector glyphs directly in the vector domain, without raster generation or vectorization. Experiments on several Chinese font datasets show substantial improvements over existing vector font synthesis methods, competitive glyph rendering quality against raster-domain baselines, and vector command distributions close to real fonts.
Comments12 pages
