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  • Journal of Computational Design
  • Cilt: 6 Sayı: 1
  • Artificial Intelligence, GAN and Architecture: Investigating Quality in Architectural Plan Generatio...

Artificial Intelligence, GAN and Architecture: Investigating Quality in Architectural Plan Generation

Authors : Özlem Gök Tokgöz, Mehmet Ali Altin
Pages : 191-210
Doi:10.53710/jcode.1448847
View : 100 | Download : 158
Publication Date : 2025-03-31
Article Type : Other Papers
Abstract :Artificial intelligence (AI) finds extensive applications in architecture, alongside various other domains of daily life. Recent years have witnessed a surge in visual processing, analysis, and production, primarily propelled by deep learning algorithms. Among these algorithms, Generative Adversarial Networks (GANs) stand out as exemplary tools for image generation. Leveraging visual data, GANs are widely employed for diverse tasks such as image-to-image translation, text-to-image generation, and transforming photographs into drawings, particularly within the realm of image synthesis. Within architecture, GANs are utilized across various domains including facade design, interior layout, and generation of perspectives and architectural plans. Notably, GANs have emerged as prominent tools in architectural plan generation. However, unlike other image synthesis tasks, architectural plan generation places greater emphasis on plan quality over image fidelity. Consequently, evaluating the quality of plans generated through AI poses a novel and contemporary challenge. While some studies touch upon quality issues in GAN-generated outputs, a comprehensive exploration of quality-related concerns remains lacking. This study seeks to explore the efficacy of GAN algorithms in addressing quality issues inherent in architectural plan generation. To this end, an analysis of existing architectural plan generation studies employing GANs is conducted, alongside an examination of the concept of architectural quality. Drawing insights from the architectural quality literature, the study delves into the potential of GAN algorithms to enhance architectural plan quality, offering discussions and evaluations thereof.
Keywords : Yapay Zekâ, Mimari Plan Üretimi, Mimari Planda Nitelik, Çekişmeli Üretken Ağlar

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