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PaperPlot
Automating Academic Illustration

An agentic framework for AI researchers. Generate high-quality methodology diagrams and plots from text or references with PaperPlot.

Explore Features
PaperPlot Hero 1PaperPlot Hero 2PaperPlot Hero 3

Generator Configuration

PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS •
PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •PUBLICATION-READY • METHODOLOGY DIAGRAMS • AGENTIC FRAMEWORK • STATISTICAL PLOTS • PAPERBANANA FRAMEWORK •

Empowering Every Creative Workflow

From initial concepts to final production assets, PaperPlot fits seamlessly into your process.

Diagram Generation
from Scratch

PaperPlot accepts textual descriptions and orchestrates agents to plan layout and render components, bridging the gap between abstract ideas and visual diagrams.

  • Model architecture diagrams
  • Complex flowcharts
  • PaperPlot System overviews
PaperPlot diagram generation example
PaperPlot sketch polishing example

Polishing
Hand-Drawn Sketches

Upload a rough sketch. With PaperPlot, PaperPlot's multimodal capabilities interpret your visual intent and refine it into a polished, professional diagram.

  • Sketch-to-Digital conversion
  • Style consistency
  • Layout preservation
Start polishing

Statistical Plots
Visualization

Beyond diagrams, PaperPlot effectively generates high-quality statistical plots, ensuring data is presented with clarity and academic rigor.

  • Publication-style charts
  • Accurate data representation
  • Vector-quality output
PaperPlot statistical plots example

Designed for Scientists

PaperPlot addresses the pain point of creating figures. Focus on your research, not on drawing tools.

Agentic Framework

PaperPlot orchestrates specialized agents (Retriever, Planner, Renderer, Critic) to retrieve contexts, plan layouts, and render high-fidelity diagrams.

Academic Precision

Fine-tuned for scientific accuracy. PaperPlot generates publication-ready methodology diagrams and statistical plots that outperform baselines.

Iterative Refinement

PaperPlot includes a self-critique mechanism where agents strictly evaluate and refine outputs to adhere to faithfulness, conciseness, and aesthetics.

PaperPlot Benchmark

Why PaperPlot?

Solve the Time Bottleneck

Generating publication-ready illustrations is a labor-intensive bottleneck. PaperPlot lifts this burden, allowing you to focus on core research rather than manual drafting.

Standardized Aesthetics

Consistently outperforms leading baselines in faithfulness, conciseness, and aesthetics. Our PaperPlot framework ensures your figures meet the rigorous standards of top-tier AI conferences.

Open Source Collaboration

We introduce PaperPlotBench, a comprehensive benchmark of 292 curated test cases from NeurIPS 2025, provided to the community to foster innovation in automated scientific illustration with PaperPlot.

Multimodal Capability

Powered by state-of-the-art VLMs and image generation models. PaperPlot seamlessly handles both text-to-image generation and iterative refinement via self-critique.

Frequently Asked Questions

Everything you need to know about PaperPlot

PaperPlot is an automated agentic framework designed for AI researchers. It automates the process of creating high-quality, publication-ready academic illustrations, including methodology diagrams and statistical plots, directly from textual descriptions or rough references.

Our framework employs a multi-step process: 'Retrieve' to gather context, 'Plan' to design the layout, 'Render' to generate the initial image using state-of-the-art models, and 'Refine' to iteratively improve the output through self-critique for maximum accuracy and aesthetics.

PaperPlot is versatile. It excels at creating complex methodology diagrams (like model architectures and flowcharts) as well as precise statistical plots. It can virtually handle any visual requirement for an academic paper.

Yes! Beyond generating from scratch, PaperPlot features a powerful polishing capability. You can input your rough hand-drawn sketches or draft diagrams, and the system will refine them into professional, vector-style illustrations.

Absolutely. PaperPlot is benchmarked against standards from top AI conferences like NeurIPS. Our evaluation metrics focus on faithfulness, conciseness, readability, and aesthetics to ensure the output meets publication standards.

Not at all. The goal of PaperPlot is to bridge the gap between your research ideas and visual communication. You provide the scientific context, and our agents handle the design principles.

Ready to automate your figures?

Let PaperPlot handle the drawing, so you can handle the research.

Get Started on GitHub
PaperPlot - Automating Academic Illustration