Problem
Research questions and friction points this paper is trying to address.
Scientific Figures
Recursive Generation
Editable
SVG Program
Multi-agent System
Figures as Programs: Recursive Generation of Editable Scientific Figures
🤖 AI Summary
为解决科学方法图制作耗时且难编辑的问题，提出FigTree系统，通过递归生成SVG程序来自动创建可编辑的矢量图形。
📝 Abstract
Scientific methodology figures are essential for communicating complex methods clearly, yet creating them remains labor-intensive and typically requires multiple rounds of refinement. Recent image-generation models can synthesize visually appealing raster figures, but producing a human-satisfactory result in a single generation step remains difficult. Moreover, precise edits to raster figures are challenging for both humans and models. We formulate scientific figure generation as recursive SVG program construction and propose \textsc{FigTree}, a \textit{multi-agent} system that automatically transforms a scientific paper into a structured vector figure. \textsc{FigTree} grounds figure content in the source paper, decomposes a figure into a hierarchy of local regions, generates each region as a short SVG program, and assembles the resulting fragments. A render-critic refinement loop jointly inspects the rendered figure and its underlying program, enabling visual defects to be traced to specific statements and accurately repaired. We conduct extensive evaluations of \textsc{FigTree} on figure quality and editability, showing that \textsc{FigTree} produces high-quality figures, while also enabling more effective editing than existing raster-based methods.
Innovation
Methods, ideas, or system contributions that make the work stand out.
recursive SVG program construction
multi-agent system
render-critic refinement loop
🔎 Similar Papers
No similar papers found.
