  This study introduces LLM4DESIGN, a highly automated system for generating
architectural and environmental design proposals. LLM4DESIGN, relying solely on
site conditions and design requirements, employs Multi-Agent systems to foster
creativity, Retrieval Augmented Generation (RAG) to ground designs in realism,
and Visual Language Models (VLM) to synchronize all information. This system
resulting in coherent, multi-illustrated, and multi-textual design schemes. The
system meets the dual needs of narrative storytelling and objective drawing
presentation in generating architectural and environmental design proposals.
Extensive comparative and ablation experiments confirm the innovativeness of
LLM4DESIGN's narrative and the grounded applicability of its plans,
demonstrating its superior performance in the field of urban renewal design.
Lastly, we have created the first cross-modal design scheme dataset covering
architecture, landscape, interior, and urban design, providing rich resources
for future research.
