4 papers · 1 filter
UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models
Jun Yin, Jing Zhong, Peilin Li +4
Urban cultures and architectural styles vary significantly across cities due to geographical, chronological, historical, and socio-political factors. Understanding these difference…
Segment Any Architectural Facades (SAAF):An automatic segmentation model for building facades, walls and windows based on multimodal semantics guidance
Peilin Li, Jun Yin, Jing Zhong +3
In the context of the digital development of architecture, the automatic segmentation of walls and windows is a key step in improving the efficiency of building information models…
ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models
Jing Zhong, Jun Yin, Peilin Li +4
Architectural cultures across regions are characterized by stylistic diversity, shaped by historical, social, and technological contexts in addition to geograph-ical conditions. Un…
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
Jun Yin, Jing Zhong, Pengyu Zeng +4
In contemporary architectural design, the growing complexity and diversity of design demands have made generative plugin tools essential for quickly producing initial concepts and…