A Discussion on an Urban Layout Workflow Utilizing Generative Adversarial Network (GAN): With a focus on automatized labeling and dataset acquisition

Ximing Zhong, Fricker Pia, Fujia Yu, Chuheng Tan, Yuzhe Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Deep Learning (DL) has recently gained widespread attention in the automation of urban layout processes. This study proposes a rule-based and Generative Adversarial Network (GAN) workflow to automatically select and label urban datasets to train customized GAN models for the generation of urban layout proposals. The developed workflow automatically collects and labels urban typology samples from open-source maps. Furthermore, it controls the results of the GAN process with labels and provides real-time urban layout suggestions based on a co-design process. The conducted case study shows that the average value of the GAN results, trained from an automatically generated dataset, meets the site's requirements. The developed co-design strategy allows the architect to control the GAN process and perform iterations on urban layouts. The research addresses the research gap in GAN applications in the field of urban design and planning. Many studies have demonstrated that training the (GAN) model by labeling enables machines to learn urban morphological features and urban layout logic. However, two research gaps remain: (1) The manual filtering of GAN urban sample datasets to fit site-specific design requirements is very time-consuming. (2) Without a suitable data labeling method, it is difficult to manage the GAN process in such a manner to facilitate the meeting of overriding design requirements.
Original languageEnglish
Title of host publicationProceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022)
EditorsBurak Pak, Gabriel Wurzer, Rudi Stouffs
Pages583-592
Number of pages10
Volume2
DOIs
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Education and Research in Computer Aided Architectural Design in Europe - Ghent, Belgium
Duration: 13 Sept 202216 Sept 2022

Publication series

NameeCAADe proceedings
ISSN (Electronic)2684-1843

Conference

ConferenceInternational Conference on Education and Research in Computer Aided Architectural Design in Europe
Country/TerritoryBelgium
CityGhent
Period13/09/2216/09/22

Publication forum classification

  • Publication forum level 0

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