FigMirror – Plot your data in a reference paper's style
FigMirror is a tool designed to help users plot their data in the style of reference figures from academic papers. It utilizes an iterative Drawer/Reviewer loop to refine the output until it matches the desired style. The tool supports both 2D and 3D figures, providing editable matplotlib scripts and a camera-ready PDF as outputs.
- ▪FigMirror allows users to paste their data and select a reference figure to mimic its style.
- ▪The tool features a Drawer-Reviewer loop that iteratively improves the figure based on visual reviews.
- ▪Users can start from a library of 139 paper figures across 25 chart families if they lack a high-quality reference.
Opening excerpt (first ~120 words) tap to expand
FigMirror: Plot Your Data in Any Paper's Style. Pick a reference figure, paste your data, and get an editable matplotlib script plus a camera-ready PDF. Showcase | Quick Start | How It Works | Method | Contribute English | 中文 figmirror_demo.mp4 Showcase FigMirror uses a reference figure as the style target, then renders your data through an iterative Drawer / Reviewer loop until the output looks like it belongs in the same paper family. Reference FigMirror Output Reference FigMirror Output Reference FigMirror Output No high-quality reference at hand? Start from 139 paper figures across 25 chart families.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.