论文标题
端到端生成式平面图和带有属性和关系图的布局
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
论文作者
论文摘要
在本文中，我们提出了一个终端模型，用于从随机矢量中生产用于内部场景合成的家具布局。该提出的模型旨在支持专业的室内设计师更快地生产室内装饰解决方案。提出的模型结合了房间的条件地板平面模块，一个有条件的图形地板平面模块和有条件的布局模块。与现场合成的先前工作相比，我们提出的三个模块在房间的维度类别的情况下增强了自动生成的能力。我们对拟议的现实世界内部布局数据集进行了实验，该数据集包含$ 191208 $设计的专业设计师设计。我们的数值结果表明，与最先进的模型相比，所提出的模型产生了更高质量的布局。数据集和代码已发布\ href {https://github.com/code-submit/dataset3} {dataset，code}
In this paper, we propose an end-end model for producing furniture layout for interior scene synthesis from the random vector. This proposed model is aimed to support professional interior designers to produce the interior decoration solutions more quickly. The proposed model combines a conditional floor-plan module of the room, a conditional graphical floor-plan module of the room and a conditional layout module. As compared with the prior work on scene synthesis, our proposed three modules enhance the ability of auto-layout generation given the dimensional category of the room. We conduct our experiments on the proposed real-world interior layout dataset that contains $191208$ designs from the professional designers. Our numerical results demonstrate that the proposed model yields higher-quality layouts in comparison with the state-of-the-art model. The dataset and code are released \href{https://github.com/CODE-SUBMIT/dataset3}{Dataset,Code}
