[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-650698-105":59,"doc-detail-650698-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","m-strugan-an-automatic-2d-plan-generation-system-under-mixed-structural-constraints-for-homestays","M-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays","","Existing 2D-plan generation approaches based on intelligent systems often rely on human-defined rules and involve complex operations. GANs can address these issues by learning independently, yet prior work typically assumes a single constraint and leaves it unclear whether qualified designs can be produced under multiple mixed structural constraints. This paper proposes the M-StruGAN generative model and evaluates feasibility through synthesis quality, rationality of schemes, and design quality assessment. Experiments show the generated drawings are acceptable, designers widely approve results, and M-StruGAN learns critical 2D layout points.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/m-strugan-an-automatic-2d-plan-generation-system-under-mixed-structural-constraints-for-homestays/650698/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/m-strugan-an-automatic-2d-plan-generation-system-under-mixed-structural-constraints-for-homestays/650698.png","ImageObject",300,407,{"name":92,"@type":93},"Guten tag","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-10-24",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does M-StruGAN address in homestay 2D-plan layout generation?","Question",{"text":112,"@type":113},"It targets the long, iterative, and expertise-intensive process of creating 2D-plan layouts for homestays, especially under complex mixed structural constraints.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the paper evaluate whether the generated 2D plans are feasible and high quality?",{"text":117,"@type":113},"Feasibility is assessed comprehensively through three aspects: image synthesis quality, scheme rationality, and scheme design quality.",{"name":119,"@type":110,"acceptedAnswer":120},"What improvements are reported compared with traditional design methods?",{"text":121,"@type":113},"The study reports higher-definition image quality, higher design efficiency, lower design cost, and more stable design quality, based on a human–computer interaction application and comparison with traditional methods using pix2pixHD.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},650698,1793074565,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":56,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},687212321768,"https://ap-avatar.wpscdn.com/avatar/a0010bdbe886d2fe77?x-image-process=image/resize,m_fixed,w_180,h_180&k=1789897067658708522","sustainability   \nArticle  \nM-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays  \nXiaoni Gao 1, Xiangmin Guo 1 and Tiantian Lo 2, *  \nCitation: Gao, X.; Guo, X.; Lo, T.  \nM-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays. Sustainability 2023, 15, 7126 . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)su15097126  \nAcademic Editors: Tin-Chih Toly Chen and Ali Bahadori-Jahromi  \nReceived: 21 March 2023  \nRevised: 21 April 2023  \nAccepted: 21 April 2023  \nPublished: 24 April 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 Harbin Institute of Technology, Shenzhen 515100, China; [hathaway886@gmail.com](hathaway886@gmail.com) (X.G.); [xiangminguo@hit.edu.cn](xiangminguo@hit.edu.cn) (X.G.)  \n2 School of Design, Jockey Club Innovation Tower V1002e, The Hong Kong Polytechnic University, Hunghom 999077, Hong Kong  \n* Correspondence: [tt2lo@polyu.edu.hk](tt2lo@polyu.edu.hk)  \nAbstract: Existing methods for generating 2D plans based on intelligent systems usually require human-defined rules, and their operations are complex. GANs can solve these problems through independent research and learning. However, they only have generative design research based on a single constraint condition, and whether they can generate a qualified design scheme under many constraints is still unclear. Therefore, this paper develops the M-StruGAN generative model based on the structural design framework of a GAN. Its application research is extended to the 2D-plan layout generation of homestay based on the constraints of hybrid structures, and the feasibility of the method is comprehensively verified through three aspects: image synthesis quality assessment, scheme rationality assessment, and scheme design quality assessment. Experimental results show that the quality of the drawings generated by M-StruGAN is qualified, designers have a high degree of acceptance of the design results of M-StruGAN, and M-StruGAN completed the learning of the critical points of the 2D layout. Finally, through the human–computer interaction application of M-StruGAN, it can be found that compared with traditional design methods, M-StruGAN based on pix2pixHD has high-definition image quality, higher design efficiency, lower design cost, and more stable design quality.  \nKeywords: homestay; 2D-plan; machine learning; GAN; Pix2pixHD  \n1. Introduction  \nSince the 20th century, with the acceleration of urbanization, the transformation and utilization of old buildings has attracted more and more attention from all walks of life [1] . Reusing existing buildings not only realizes the sustainable development of buildings but also effectively reduces the carbon emissions of buildings [2] . During the renovation of a building, the 2D-plan layout is part of the core content of the scheme design of the building [3] . A reasonable functional layout that satisfies the space size, quantity, connection, and other relationships of the house to the greatest extent can bring comfort to people's daily lives [4] . The emergence of mass tourism has brought opportunities for the development of homestays. At the same time, it has also put forward high requirements for the design of the 2D-plan layout of homestays [5] . The 2D-plan layout of a homestay is a long and tedious task in the traditional design process, especially when it comes to complex structural constraints, which require designers to repeatedly try and modify the design process, which consumes a lot of time and energy [6,7] . The design of a 2D-plan layout mainly faces the following problems: (1) The scheme ","cbCaidX0DG0hIod9","https://ap.wps.com/l/cbCaidX0DG0hIod9","pdf",14124080,"English","# Introduction\n## Background and challenges of homestay 2D-plan layout\n## Limitations of traditional and rule-based methods\n## Directions in computer-aided 2D-plan generation","[{\"question\":\"What problem does M-StruGAN address in homestay 2D-plan layout generation?\",\"answer\":\"It targets the long, iterative, and expertise-intensive process of creating 2D-plan layouts for homestays, especially under complex mixed structural constraints.\"},{\"question\":\"How does the paper evaluate whether the generated 2D plans are feasible and high quality?\",\"answer\":\"Feasibility is assessed comprehensively through three aspects: image synthesis quality, scheme rationality, and scheme design quality.\"},{\"question\":\"What improvements are reported compared with traditional design methods?\",\"answer\":\"The study reports higher-definition image quality, higher design efficiency, lower design cost, and more stable design quality, based on a human–computer interaction application and comparison with traditional methods using pix2pixHD.\"}]","M-StruGAN: An Automatic 2D-Plan Generation System under Mixed Structural Constraints for Homestays | PDF",1792839445,48]