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New FigMirror framework converts scientific figures to code with style transfer

Researchers have introduced FigMirror, a new agentic framework designed to convert scientific figures into executable code. Unlike previous methods that focus on reproducing the original figure, FigMirror aims to plot new data while preserving the visual style of a reference figure, such as color schemes and typography. The framework achieves this through a technique called Grounded Measurement, which identifies visual elements by coordinates and measures their properties using executable code. To evaluate its effectiveness, the team also developed PlotTwin-Bench, a benchmark featuring fine-grained code and image-level style metrics. AI

IMPACT This framework could streamline the process of creating reproducible scientific visualizations and potentially aid in the development of more sophisticated AI agents for scientific tasks.

RANK_REASON The cluster describes a new research paper detailing a novel framework and benchmark for converting scientific figures into executable code. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New FigMirror framework converts scientific figures to code with style transfer

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The cluster describes a new research paper detailing a novel framework and benchmark for converting scientific figures into executable code. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xiaohan Zhao, Jiacheng Liu, Yaxin Luo, Zhiqiang Shen ·

    FigMirror: Ground It, Code It, Plot It

    arXiv:2608.28814v1 Announce Type: cross Abstract: Converting scientific figures into executable code has gained increasing attention, yet existing methods primarily focus on reproducing the reference figure itself. A more practical setting is to plot new data while preserving the…