AI RESEARCH
VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models
arXiv CS.CV
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ArXi:2603.24575v1 Announce Type: new Scalable Vector Graphics (SVG) are an essential format for technical illustration and digital design, offering precise resolution independence and flexible semantic editability. In practice, however, original vector source files are frequently lost or inaccessible, leaving only "flat" rasterized versions (e.g., PNG or JPEG) that are difficult to modify or scale. Manually reconstructing these figures is a prohibitively labor-intensive process, requiring specialized expertise to recover the original geometric intent.