Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.buildenv.2022.109477
Title: Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales
Authors: Wu, Abraham Noah 
Stouffs, Rudi 
Biljecki, Filip 
Issue Date: Sep-2022
Publisher: Elsevier BV
Citation: Wu, Abraham Noah, Stouffs, Rudi, Biljecki, Filip (2022-09). Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales. Building and Environment 223 : 109477-109477. ScholarBank@NUS Repository. https://doi.org/10.1016/j.buildenv.2022.109477
Source Title: Building and Environment
URI: https://scholarbank.nus.edu.sg/handle/10635/230457
ISSN: 03601323
DOI: 10.1016/j.buildenv.2022.109477
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2022_bae_gan.pdfAccepted version8.2 MBAdobe PDF

OPEN

Post-printView/Download

SCOPUSTM   
Citations

1
checked on Nov 25, 2022

Page view(s)

35
checked on Dec 1, 2022

Download(s)

53
checked on Dec 1, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.