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arXiv · 2603.06674

AutoFigure-Edit: Generating Editable Scientific Illustration

Zhen Lin·Qiujie Xie·Minjun Zhu·Shichen Li·Qiyao Sun·Enhao Gu·Yiran Ding·Ke Sun·Fang Guo·Panzhong Lu·Zhiyuan Ning·Yixuan Weng·Yue Zhang
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Abstract

High-quality scientific illustrations are essential for communicating complex scientific and technical concepts, yet existing automated systems remain limited in editability, stylistic controllability, and efficiency. We present AutoFigure-Edit, an end-to-end system that generates fully editable scientific illustrations from long-form scientific text while enabling flexible style adaptation through user-provided reference images. By combining long-context understanding, reference-guided styling, and native SVG editing, it enables efficient creation and refinement of high-quality scientific illustrations. To facilitate further progress in this field, we release the video at https://youtu.be/10IH8SyJjAQ, full codebase at https://github.com/ResearAI/AutoFigure-Edit and provide a website for easy access and interactive use at https://deepscientist.cc/.

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Zhen Lin, Qiujie Xie, Minjun Zhu, Shichen Li, Qiyao Sun, Enhao Gu, Yiran Ding, Ke Sun, Fang Guo, Panzhong Lu, Zhiyuan Ning, Yixuan Weng, Yue Zhang. 2026-03-03. AutoFigure-Edit: Generating Editable Scientific Illustration. https://arxiv.org/abs/2603.06674

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