DiagramRAG: Lightweight Framework for Scientific Diagram Generation from Sketches
Researchers have introduced DiagramRAG, a lightweight retrieval-augmented framework designed to complete scientific diagrams from rough user sketches. The system addresses the challenge that sketches are often incomplete and insufficient for producing publication-quality diagrams. Unlike existing methods that either reconstruct the sketch itself or rely solely on textual semantics, DiagramRAG retrieves reference diagrams that are both semantically relevant and topologically compatible with the sketch's structure. This approach leverages the topological information inherent in sketches, which is often underutilized by text-driven frameworks. The framework aims to help researchers communicate complex methodologies more effectively by generating complete, polished diagrams from initial hand-drawn concepts. The paper is available on arXiv with identifier 2605.27931.
Key facts
- DiagramRAG is a retrieval-augmented framework for sketch-based scientific diagram completion.
- It retrieves reference diagrams that are semantically relevant and topologically compatible.
- Existing sketch-based methods mainly reconstruct the sketch itself.
- Text-driven diagram generation frameworks do not fully exploit topological structure in sketches.
- The framework is designed to produce publication-quality diagrams from rough sketches.
- The paper is published on arXiv with ID 2605.27931.
- The framework is described as lightweight.
- It targets scientific diagrams for communicating complex methodologies.
Entities
Institutions
- arXiv