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The study of high-performance generation methods for rural plan based on generative adversarial network

Xiao-Hu Liu Peng-Cheng Miao Xiao-Xiao Dong Baghdad Esmail Fei Ye Dian Lei

Frontiers of Architectural Research2025，Vol.14Issue(3)：P.739-758,20.

Frontiers of Architectural Research2025，Vol.14Issue(3)：P.739-758,20.DOI:10.1016/j.foar.2024.09.007

The study of high-performance generation methods for rural plan based on generative adversarial network

Xiao-Hu Liu ¹Peng-Cheng Miao ¹Xiao-Xiao Dong ¹Baghdad Esmail ¹Fei Ye ¹Dian Lei¹

作者信息

1. School of Architecture&Urban Planning,Huazhong University of Science and Technology,Wuhan 430000,China Huazhong University of Science&Technology-Hubei Green Building Development Co.LTD Joint Research Center for Integrative Development of Health and Cultural Tourism,Wuhan 430074,China Hubei Rural Construction Center,Wuhan 430074,China
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摘要

关键词

Generative adversarial network/Traditional village layout structure design/Generate result optimization/Deep learning/Space planning problem

分类

建筑与水利

引用本文复制引用

Xiao-Hu Liu,Peng-Cheng Miao,Xiao-Xiao Dong,Baghdad Esmail,Fei Ye,Dian Lei..The study of high-performance generation methods for rural plan based on generative adversarial network[J].Frontiers of Architectural Research,2025,14(3):P.739-758,20.

基金项目

supported by the National Natural Science Foundation of China(Grant No.51978295)。（Grant No.51978295）

Frontiers of Architectural Research

ISSN：2095-2635

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