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SciForma: Structure-Faithful Generation of Scientific Diagrams

20 upvotes · 20 JUL 2026 · Yuxuan Luo, Peng Zhang, Xinjie Zhang et al.

This paper develops a new framework, SciForma, to generate scientific diagrams that accurately represent research logic, which is crucial for scientific communication and methodology validation. Practitioners can benefit from SciForma's ability to ensure structural fidelity in diagram generation, which can improve the accuracy and reliability of scientific research.

scientific diagram generationstructural fidelitycontinual learninggraphical user interfacedeep learning models