基于条件生成对抗网络的城市设计研究 Urban design process with conditional generative adversarial networks

Abstract

Aiming at technical problems of analyzing and processing interdisciplinary data for decision-making and computational design during urban design processes, this paper categorizes the data into two groups: familiar and unfamiliar, and contends for the method of conditional generative adversarial networks in processing unfamiliar data to support urban design processes. The result shows that this method can effectively support the decision-making processes in urban design.