arXiv Artificial Intelligence

Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans

Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans

Quick summary

arXiv:2606.10953v2 Announce Type: replace Abstract: Furnished floor plans support real-estate visualization, interior design, and architectural workflows, yet automatic furnishing remains challenged by limited real-world data and the need to satisfy interacting geometric and functional constraints. We ask whether professional furnishing knowledge can be learned from real floor plans using a pretrained model, enabling direct constraint-aware layout generation without relying on costly iterative agentic inference. We introduce AntPlan, a curated dataset of 505 real professional architectural flo

Key takeaways

  • arXiv:2606.10953v2 Announce Type: replace Abstract: Furnished floor plans support real-estate visualization, interior design, and architectural workflows, yet automatic furnishing remains challenged by limited real-world data and the need to satisfy interacting geometric and functional constraints.
  • We ask whether professional furnishing knowledge can be learned from real floor plans using a pretrained model, enabling direct constraint-aware layout generation without relying on costly iterative agentic inference.
  • We introduce AntPlan, a curated dataset of 505 real professional architectural flo

Why it matters

This model development creates a new option for users and a new testing obligation for developers. A fixed evaluation set comparing quality, cost and failure behavior is more useful than launch claims.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗