Artificial Intelligence to Facilitate the Conceptual Stage of Interior Space Design: Conditional Generative Adversarial Network-Supported Long-Term Care Space Floor Plan Design of Retirement Home Buildings

Artificial Intelligence to Facilitate the Conceptual Stage of Interior Space Design: Conditional Generative Adversarial Network-Supported Long-Term Care Space Floor Plan Design of Retirement Home Buildings

This study uses Conditional Generative Adversarial Network (CGAN) to construct a method for generating floor plans for long-term care spaces in retirement home buildings to assist architects in improving interior space design. The results of this study show the following: (1) For the interior design...

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Bibliographic Details
Main Authors: Yanyu Li, Huanhuan Chen, Jingyi Mao, Yile Chen, Liang Zheng, Junjie Yu, Lina Yan, Lulu He
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Applied Artificial Intelligence
Online Access:https://www.tandfonline.com/doi/10.1080/08839514.2024.2354090
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https://www.tandfonline.com/doi/10.1080/08839514.2024.2354090

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