A REVIEW OF THE APPLICATION OF GENERATIVE ADVERSARIAL NETWORKS IN THE FIELD OF ARCHITECTURAL DESIGN
As computer science advancing, applications of artificial intelligence have permeated various fields. To explore the application of Generative Adversarial Networks (GANs) in the field of sarchitectural design, according to different themes, this paper summarizes do-mestic and international related research achievements which are divided into four major categories: architectural design and generation, design optimization and predic-tion, architectural style conversion and design inspiration, and data enhancement and evaluation. On this basis, this paper analyzes the current development status and future research trends of GANs in the field of architectural design, and puts forward possible application directions and potential challenges for future research to provide new ideas and inspiration for researchers, and promote innovation and development in the field of architectural design.
generative adversarial networksarchitectural designdeep learningapplication research