Auto-3D-house Design from Structured User Requirements  

作　　者：Minkui Tan Qi Chen Zixiong Huang Qi Wu Yuanqing Li Jiaqiu Zhou 

机构地区：[1]School of Software Engineering,South China University of Technology,Guangzhou 510006,China [2]Faculty of Engineering,Computer and Mathematical Science,University of Adelaide,Adelaide SA 5005,Australia [3]School of Automation Science and Engineering,South China University of Technology,Guangzhou 510006,China

出　　处：《Machine Intelligence Research》2025年第2期368-385,共18页机器智能研究(英文版)

基　　金：supported by the National Natural Science Foundation of China(NSFC)(No.62072190);TCL Science and Technology Innovation Fund,China.

摘　　要：We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)the understanding of user requirements,where the users can hardly provide high-quality requirements without any professional knowledge;2)the design of house plan,which mainly focuses on how to capture the effective information from user requirements.To address the above issues,we propose an automatic house design framework,called auto-3D-house design(A3HD).Unlike the previous works that consider the user requirements in an unstructured way(e.g.,natural language),we carefully design a structured list that divides the requirements into three parts(i.e.,layout,outline,and style),which focus on the attributes of rooms,the outline of the building,and the style of decoration,respectively.Following the processing of architects,we construct a bubble diagram(i.e.,graph)that covers the rooms′attributes and relations under the constraint of outline.In addition,we take each outline as a combination of points and orders,ensuring that it can represent the outlines with arbitrary shapes.Then,we propose a graph feature generation module(GFGM)to capture layout features from the bubble diagrams and an outline feature generation module(OFGM)for outline features.Finally,we render 3D houses according to the given style requirements in a rule-based method.Experiments on two benchmark datasets(i.e.,RPLAN and T3HM)demonstrate the effectiveness of our A3HD in terms of both quantitative and qualitative evaluation metrics.

关 键 词：Automated house design user requirements understanding outline processing layout generation graph feature generation. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]