AI RESEARCH
Design-MLLM: A Reinforcement Alignment Framework for Verifiable and Aesthetic Interior Design
arXiv CS.LG
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ArXi:2603.13312v1 Announce Type: cross Interior design is a requirements-to-visual-plan generation process that must simultaneously satisfy verifiable spatial feasibility and comparative aesthetic preferences. While recent multimodal large language models (MLLMs) offer a unified foundation for interpreting user intent and producing design rationales, our empirical analysis reveals a persistent contradiction in real-world deployment: MLLMs often produce layouts that are unbuildable and aesthetically inconsistent.