2608.28701
2026-09-01
cs.CV
新提交
TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language Models
TopoAgent:基于大型视觉语言模型的感知到推理的结构感知框架,用于图到图拓扑提取
Bangwei Guo, Xujiang Zhao, Yanchi Liu, Wei Cheng, Shengyu Chen, Dongyue Li, Masaharu Morimoto, Takayuki Kuroda, Dimitris Metaxas, Haifeng Chen
机构
*
Rutgers University(罗格斯大学)
;
Meta
;
NEC Labs America(美国NEC实验室)
;
University of Electro-Communications(电气通信大学)
;
NEC Corporation(日本电气公司)
AI总结
该研究针对图到图拓扑提取任务构建了TopoBench-180基准,并提出TopoAgent框架,结合感知、结构先验与推理,在基准上性能优于现有模型,填补了多模态结构化理解的空白。