CREATION AND VERIFICATION OF DEEP-LEARNING-BASED DESIGN AI
Satoshi YAMADA, Kotaro ONO · Journal of Architecture and Planning (Transactions of AIJ) · 2020
In recent years, there has been a growing interest in the application of Deep Learning to architecture and urbanism. This research is focused on content generation AI using Deep Learning. Despite claims that replacing creativity-related work with machines is difficult, the use of generative adversarial networks (GANs) is becoming more popular in various fields. The objective of this research is to develop an AI-supported design or a co-creation between humans and AI through the application of GANs. The primary goal of this work could be interpreted as repurposing existing concepts to create new designs through the combination of multiple design sources. Therefore, the purpose of this research is the creation of AI that emulate and support the design process.