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-Reference-Cited by-同舟云学术

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

Published:2024-05-14 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Li Yanyu¹,Chen Huanhuan¹,Mao Jingyi²,Chen Yile¹^ORCID,Zheng Liang¹^ORCID,Yu Junjie³,Yan Lina¹^ORCID,He Lulu⁴

Affiliation:

1. Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China

2. College of Arts, South China Agricultural University, Guangzhou, China

3. College of Design, Jiaxing University, Jiaxing, China

4. School of art and design, Guangdong Polytechnic of Science And Trade, Qingyuan, China

Funder

Guangdong Provincial Department of Education’s key scientific research platforms and projects for general universities in 2023

Guangdong, Hong Kong, and Macao Cultural Heritage Protection and Innovation Design Team

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2354090

Reference63 articles.

1. The effect of loss function on conditional generative adversarial networks

2. Applications of Generative Adversarial Networks (GANs): An Updated Review

3. Artificial intelligence in the creative industries: a review

4. Parametric design and its impact on solid modeling applications

5. Population aging: Facts, challenges, and responses;Bloom D. E.;Benefits and Compensation International,2011

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1. Interior Space Design Method Considering Image Feature Extraction Algorithms;IEEE Access;2024