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Iterative training architecture
A dense three-stage learning loop reconstructed as selectable SVG regions while preserving the original scientific hierarchy.
Computer scienceMethod sectionAutoFigure-EditEditable SVG
Turn your methodology text into editable SVG scientific illustrations. Our 5-step AI pipeline generates, segments, and assembles publication-ready vector figures for research papers, conference posters, and presentations — no design skills required.
Fuse 4D radar point clouds with RGB camera features, align them in bird’s-eye view, and use spatial attention for multi-task 3D detection.
A dense three-stage learning loop reconstructed as selectable SVG regions while preserving the original scientific hierarchy.
A multi-panel evaluation framework converted into a vector structure with individually addressable labels, arrows, and modules.
A research-agent architecture rebuilt with cleaner spacing and a reusable vector layout for papers, posters, and slides.
See the actual inputs, transformations, and editable output behind Paper Banana — from method text and reference style to a structured SVG you can refine element by element.
Calls a text-to-image LLM to render a journal-style schematic from your methodology text.
Uses SAM3 to detect and segment distinct icons, text regions, and diagram components.
Crops each detected region and removes backgrounds with RMBG-2.0 for transparent icon assets.
A multimodal LLM generates a structured SVG template with labeled placeholders aligned to the figure.
Validates SVG syntax, optimizes layout alignment, and replaces placeholders with clean icons to produce the final editable SVG.
Built for research papers, conference posters, and presentations where vector output matters.
Create biology figures that explain pathways, cell interactions, protein workflows, and experimental schematics without redrawing everything by hand.
AI-generated biology illustration showing neuroscience pathways and experimental workflow for a research paper
Paper Banana is built for the figure types researchers actually search for, from AI biology illustration to AI engineering diagram workflows.
A strong scientific figure must preserve meaning, guide attention, stay legible at publication size, and remain easy to revise. FigEditor keeps these four priorities visible from generation through export.
Best practice: compare every label, value, and relationship with your source material.
AI-generated figures are editable drafts. Researchers remain responsible for scientific accuracy before publication.
Start with free credits, subscribe for regular figure creation, or purchase a credit pack for your next paper or presentation.
Answers about SVG export, journal use, accuracy, and workflow
Turn a method, figure caption, or research brief into an editable SVG you can review, refine, and export.
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