What problem does it solve?
Researchers and academic authors often struggle to create high-quality, conference-compliant architecture and method diagrams for research papers, a process that is time-consuming and requires specialized design skills to meet strict publication standards for top-tier venues like CVPR, NeurIPS, and MICCAI.
Core Features & Use Cases
- Multi-stage supervised workflow: Uses a strict Claude-supervised iterative refinement loop with a minimum 9/10 quality score to ensure publication-ready output.
- Built-in conference compliance: Enforces CVPR/ICLR/NeurIPS visual standards including thick labeled arrows, professional color palettes, print-friendly layouts, and balanced academic styling.
- Optional style reference alignment: Can match the structural figure conventions of a reference paper to fit the target venue's formatting norms.
- Use Case: A researcher preparing a MICCAI submission for a vertebrae segmentation model can use this skill to generate a compliant architecture diagram by simply describing the model's components and data flow, without needing design expertise.
Quick Start
Use the paper-illustration skill to generate a CVPR-compliant architecture diagram for your proposed multi-granularity context network model, including all core components, labeled data flow arrows, and professional academic styling.