CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id caadria2024_243
authors Han, Zhen, Li, Xiaoqian, Yuan, Ye and Stouffs, Rudi
year 2024
title GRAPH2PIX: A Generative Model for Converting Room Adjacency Relationships into Layout Images
doi https://doi.org/10.52842/conf.caadria.2024.1.139
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 139–148
summary With the advancement of mathematics and computer science, deep learning-based generative design for floorplans has increasingly garnered attention among researchers. This study proposes a graph-based deep learning model, graph2pix (G2P) to synthesize floorplans guided by user-defined constraints. By incorporating room area and type information into the nodes of the graph, G2P can generate floorplans tailored to specific user requirements. It contains three sub-models: the Translator, Generator, and Discriminator. The Translator serves as the foundational 08641080
keywords Floor Plan Generative Design, Graph to Image Generative, Graph Neural Network, Room Information Addition, Conditional Generative Adversarial Network.
series CAADRIA
email
full text file.pdf (1,147,516 bytes)
references Content-type: text/html Access Temporarily Restricted

Access Temporarily Restricted

Too many requests detected. Please wait 60 seconds or verify that you are a human.

If you are a human user and need immediate access, you can click the button below to continue:

If you continue to experience issues, please open a ticket at papers.cumincad.org/helpdesk

last changed 2024/11/17 22:05
pick and add to favorite papersHOMELOGIN (you are user _anon_451194 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002