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Floor plan graph learning for generative design of residential buildings: a discrete denoising diffusion model

Author(s): (Key Laboratory of Deep Underground Science and Engineering (Ministry of Education), College of Architecture and Environment, Sichuan University, Chengdu, People's Republic of China)
(Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Road, Hong Kong, China)
(Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Road, Hong Kong, China)
(Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Road, Hong Kong, China)
Medium: journal article
Language(s): English
Published in: Building Research & Information, , n. 6, v. 52
Page(s): 1-17
DOI: 10.1080/09613218.2023.2288097
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/09613218.2023.2288097.
  • About this
    data sheet
  • Reference-ID
    10754855
  • Published on:
    14/01/2024
  • Last updated on:
    31/08/2024
 
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