AI RESEARCH
Co-Layout: LLM-driven Co-optimization for Interior Layout
arXiv CS.CL
•
ArXi:2511.12474v2 Announce Type: replace-cross We present a novel framework for automated interior design that combines large language models (LLMs) with grid-based integer programming to jointly optimize room layout and furniture placement. Given a textual prompt, the LLM-driven agent workflow extracts structured design constraints related to room configurations and furniture arrangements. These constraints are encoded into a unified grid-based representation inspired by ``Modulor