SOURCE-LINKED INTELLIGENCE
Figures as Programs: Recursive Generation of Editable Scientific Figures
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 t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T09:53:47.000Z
First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.