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One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline

arXiv cs.AI / cs.LG / cs.CLby Shih-Chen Tseng ()1 min read1 · 1 read
AI summary · grok-4.7Summaries by Vani AI

An agentic parse-style-layout pipeline relayouts flowcharts across aspect ratios with 68.6% content fidelity.

Researchers define aspect-ratio-adaptive flowchart relayout: given a raster flowchart and a target ratio, produce a structurally faithful, editable layout. Their agentic pipeline separates Parse, Style, and Layout, pairing each agent with a critic that combines deterministic checks and visual-language-model feedback, and emits draw.io-editable mxGraph XML. On 100 flowcharts at five aspect ratios, scored by Gemini 3.1 Pro and checked against human judgments, the method reaches 68.6% Content Fidelity versus 11.2-41.4% for prior work.

Key facts
  • Task: relayout a raster flowchart to a new aspect ratio without breaking edges.
  • Pipeline uses Parse, Style, and Layout agents, each paired with a critic.
  • Outputs are editable draw.io mxGraph XML rather than a flat image.
  • Content Fidelity is 68.6% versus 11.2-41.4% for earlier methods.
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From the original article

1 min read at arxiv.org

Pipeline figures in ML papers must be repurposed across many canvases, including paper columns, 16:9 slides, portrait posters, 1:1 social teasers, 9:16 phone previews. Each format imposes a different aspect ratio on the same computational graph, where any silently broken connection misrepresents the method.

arXiv cs.AI / cs.LG / cs.CL

By Shih-Chen Tseng · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.