Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal Agents
Diagrams and illustrations from the paper.
Framework overview: a frontend interface collects input from user-agent dialogue; these inputs flow to a multi-agent system that iteratively refines
spatial rules and output the final 3D interior scene.
Diagram of user-agent interaction across three stages: object selection, constraints, and score terms.
Agent interaction diagram. User input, RAG context, and the Reference Agent seed the Spatial Agent, which generates initial spatial rules. Refinement follows either manual (user and Interactive Agent) or auto (Grader Agent loop) mode until final rules are accepted.
The diagram of the Spatial Agent. RAG and user inputs flow through three prompted LLM stages including object selection, object constraint, and object score terms. Each output from the stages passes a gate; the accepted results collectively form the agent's final lists of selected objects, associated spatial constraints and score terms.