DisCo-Layout: Disentangling and Coordinating Semantic and Physical Refinement in a Multi-Agent Framework for 3D Indoor Layout Synthesis
By: Jialin Gao , Donghao Zhou , Mingjian Liang and more
Potential Business Impact:
Builds realistic virtual rooms that work anywhere.
3D indoor layout synthesis is crucial for creating virtual environments. Traditional methods struggle with generalization due to fixed datasets. While recent LLM and VLM-based approaches offer improved semantic richness, they often lack robust and flexible refinement, resulting in suboptimal layouts. We develop DisCo-Layout, a novel framework that disentangles and coordinates physical and semantic refinement. For independent refinement, our Semantic Refinement Tool (SRT) corrects abstract object relationships, while the Physical Refinement Tool (PRT) resolves concrete spatial issues via a grid-matching algorithm. For collaborative refinement, a multi-agent framework intelligently orchestrates these tools, featuring a planner for placement rules, a designer for initial layouts, and an evaluator for assessment. Experiments demonstrate DisCo-Layout's state-of-the-art performance, generating realistic, coherent, and generalizable 3D indoor layouts. Our code will be publicly available.
Similar Papers
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
CV and Pattern Recognition
Creates realistic 3D rooms from text descriptions.
Co-Layout: LLM-driven Co-optimization for Interior Layout
CV and Pattern Recognition
Designs rooms and places furniture automatically.
RoomPlanner: Explicit Layout Planner for Easier LLM-Driven 3D Room Generation
CV and Pattern Recognition
Creates realistic 3D rooms from simple text.