用人体工学原则优化公寓布局生成，让设计更舒适实用。
What a Comfortable World: Ergonomic Principles Guided Apartment Layout Generation
- 将建筑学标准转为可微损失函数，引导Transformer生成布局
- 生成布局在人体工学合规性上显著优于基线方法
- 适合关注居住舒适度与智能设计的建筑师和研究者
当前基于数据的平面图生成方法常复现真实训练数据中的人体工学缺陷。为此，我们提出一种新方法，将建筑学设计原则直接融入基于Transformer的生成过程。通过基于文献中既定建筑标准构建可微损失函数，优化房间邻接与距离关系。在训练中引入这些人体工学先验，使模型生成的布局在生活便利性指标上显著提升。对比评估显示，该方法在人体工学合规性方面优于基线，同时保持高结构合理性。
原文摘要 · Abstract (English)
Current data-driven floor plan generation methods often reproduce the ergonomic inefficiencies found in real-world training datasets. To address this, we propose a novel approach that integrates architectural design principles directly into a transformer-based generative process. We formulate differentiable loss functions based on established architectural standards from literature to optimize room adjacency and proximity. By guiding the model with these ergonomic priors during training, our method produces layouts with significantly improved livability metrics. Comparative evaluations show that our approach outperforms baselines in ergonomic compliance while maintaining high structural validity.
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