From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis

Understand

Urban morphology is fundamental to determining urban functionality and vitality.

• Prevailing simulation methods, however, often oversimplify morphological generation as a geometric problem, lacking a profound understanding of urban semantics and geographical context.
• To address this limitation, this study proposes ControlCity, a diffusion model that achieves comprehensive urban morphology generation through multimodal information fusion.
• We first constructed a quadruple dataset comprising ``image-text-metadata-building footprints" from 22 cities worldwide.