PaperBanana: AI Automating Academic Illustration
Turn research text into publication-ready diagrams with AI.
About
PaperBanana is an AI-powered agentic framework designed to automate academic illustration. We transform raw scientific content into publication-quality diagrams and plots, lifting the design bottleneck in your research workflow.Despite rapid advances in AI, generating accurate, venue-ready figures remains a labor-intensive task for researchers. PaperBanana solves this by orchestrating a team of five specialized AI agents (Retriever, Planner, Stylist, Visualizer, and Critic) to handle the heavy lifting.Key Features:Multi-Agent Workflow: An iterative, self-critiquing pipeline ensures your diagrams meet the strict aesthetic standards of top-tier venues (NeurIPS, ICML, ICLR).Accurate Statistical Plots: We generate executable Python Matplotlib code for data visualization, ensuring 100% numerical accuracy and zero AI hallucinations.Methodology Diagrams: Easily visualize complex algorithms, neural network architectures, and multi-agent system pipelines from simple text descriptions.Aesthetic Enhancement: Upload a quick hand-drawn sketch or an existing basic diagram, and our AI will elevate it into a polished, professional graphic without altering the underlying logic.Stop spending hours wrestling with design tools. Let PaperBanana turn your scientific concepts into academic masterpieces.
Comments (1)
agentic framework lol. does it actually understand molecular structures or just make pretty shapes
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