RenoLayout: Unified Floorplan Renovation and Furniture Layout for Constraint-Aware Residential Design

Key points

• Residential design aims to transform existing homes into functional living spaces while satisfying diverse design preferences and physical constraints.1
• To enable controllable supervision, we construct a Design Map comprising 123 fine-grained design points covering structural renovation and furniture layout.1
• We further introduce Difference-Grounded Design-Point Annotation to derive design-point sets automatically from before--after design pairs with VLM-based consistency verification.1
• We also introduce the RenoLayout Benchmark, a set of 200 real-world before--after renovation cases with complete furniture layouts.1

Sources (1)

• [1]RenoLayout: Unified Floorplan Renovation and Furniture Layout for Constraint-Aware Residential Design
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 15, 06:44 AM

  To address these challenges, we formulate residential design as a design-point-guided conditional generation task and propose RenoLayout, a framework that translates a pre-design residential state together with a design-point set into an executable Geometry-as-Code program.

  Residential design aims to transform existing homes into functional living spaces while satisfying diverse design preferences and physical constraints.

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