paper-illustration-image2

Generate conference-compliant academic figures with iterative quality validation.

2|Updated Aug 12, 2025
One-click install
npx skills add https://github.com/goupup-ai/miccai25 --skill paper-illustration-image2-goupup-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-illustration-image2
Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/paper-illustration-image2
Command: npx skills add https://github.com/goupup-ai/miccai25 --skill paper-illustration-image2-goupup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Creating high-quality, conference-compliant academic figures (such as model architecture diagrams, method flowcharts, and conceptual illustrations) for research papers typically requires specialized graphic design skills and strict adherence to venue-specific visual standards. This Skill eliminates that manual effort by automating the generation of print-ready, grayscale-compatible figures that meet the requirements of top-tier conferences like CVPR, NeurIPS, ICLR, and MICCAI.

Core Features & Use Cases

  • Native Codex Image Generation: Uses a local Codex app-server MCP bridge for high-quality raster rendering, with no manual bitmap fallbacks allowed.
  • Strict Style Enforcement: Automatically validates figures against top-tier conference style guidelines, including clean typography, thick labeled arrows, restrained color palettes, and print-friendly formatting.
  • Iterative Refinement Workflow: Runs a multi-stage review process with a minimum 9/10 quality score requirement, ensuring figures are logically clear, properly labeled, and paper-ready before finalization.
  • Use Case: A researcher preparing a MICCAI 2025 paper on vertebrae segmentation can use this Skill to generate a publication-quality architecture diagram of their FMC-Net model, complete with labeled data flow arrows and LaTeX integration for seamless inclusion in their manuscript.

Quick Start

Use the paper-illustration-image2 skill to generate a publication-quality architecture diagram of the FMC-Net vertebrae segmentation pipeline with CVPR-style formatting, labeled data flow arrows, and a minimum 9/10 quality score.

Frequently Asked Questions about paper-illustration-image2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate publication-ready paper figures for computer vision and medical imaging conferences?▼

You can generate publication-ready paper figures by using automated academic illustration tools that enforce top-tier conference visual standards. This Skill creates print-ready, grayscale-compatible architecture diagrams and method flowcharts without requiring manual graphic design expertise.

Does this academic illustration tool support LaTeX integration for research papers?▼

Yes, LaTeX integration is supported for research papers. The generated academic illustrations include native LaTeX snippets, allowing you to seamlessly embed publication-quality architecture diagrams directly into your manuscript without manual formatting adjustments.

What is the best way to create a vertebrae segmentation architecture diagram for a MICCAI paper?▼

The best way to create a vertebrae segmentation architecture diagram for a MICCAI paper is to use an automated research visualization tool. It applies strict style validation and iterative refinement to produce print-ready, conference-compliant conceptual figures with labeled data flow arrows.

How does the iterative refinement workflow ensure a 9/10 quality threshold for academic illustrations?▼

The iterative refinement workflow ensures a 9/10 quality threshold for academic illustrations by running a multi-stage review process. This validates that figures are logically clear, properly labeled, and paper-ready before finalization, enforcing strict style guidelines for top-tier conferences.

Can I use Codex image generation to create grayscale-compatible method flowcharts?▼

Yes, you can use native Codex image generation to create grayscale-compatible method flowcharts. The tool utilizes a local Codex app-server MCP bridge for high-quality raster rendering, ensuring print-friendly formatting without relying on manual bitmap fallbacks.

Do I need manual graphic design expertise to produce conference-style research visualizations?▼

No, you do not need manual graphic design expertise to produce conference-style research visualizations. The automated generation enforces clean typography, thick labeled arrows, and restrained color palettes to meet top-tier conference requirements automatically.