3 papers
cs.LG2026
ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling
Yihui Li, Yihui Chen, Kaidi Zha +7
Accurate estimation of building energy use is essential for achieving carbon neutral and sustainable buildings. To better understand the influence of design decisions on building e…
cs.LG2026
HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation
Nikita Klimenko, Hesam Salehipour, Parham Eftekhar +2
In this work, we propose HypergraphFormer, a novel and efficient approach to floor plan generation based on learning hypergraph representations with a large language model (LLM). T…
cs.CV2026
Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans
Sizhong Qin, Ramon Elias Weber, Xinzheng Lu
Architectural floor plan design demands joint reasoning over geometry, semantics, and spatial hierarchy, which remains a major challenge for current AI systems. Although recent dif…