SOURCE-LINKED INTELLIGENCE
FigMirror: Ground It, Code It, Plot It
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 visual style of a reference figure (e.g., color scheme and typography). Prior approaches mimic the reference through pixel-level optimization and struggle to carry its style to new data. We show that the key to this task lies in the coordinate grounding and coding capabilities present in modern computer-use models. We propose FigMirror, an agentic framework that unlo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T19:26:24.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.