Potential and challenges of generative artificial intelligence in architectural design
LI Shaoheng
HUANG Jiawei
YUAN Yan
Abstract：Generative artificial intelligence(GenAI)is leading the wave of innovation in the field of architectural design.The article systematically explains the core mechanism of the most common generative adversarial neural networks(GANs)in generative artificial intelligence(GenAI),focusing on analyzing the interaction between the generator and the discriminator and how they collaboratively drive design innovation.Summarize the advantages of GANs in assisting concept generation,providing diverse solutions,achieving real-time feedback and iterative optimization,and point out the challenges currently faced such as pattern collapse,unstable training,and high computational resource requirements.Through continuous technological improvement and optimization in the future,GANs are expected to become an indispensable tool in architectural design,opening up broader creative spaces for designers and significantly improving work efficiency.
Keywords：GenAIarchitectural designinnovative toolsimulation environmenttechnical challenges
Publication Date：2025-11-25
Pages：4( 1-4 )