Streamlining Architectural Workflows Using Generative Adversarial Networks

Architectural and virtual world designs play a pivotal role in shaping both physical and digital environments. However, traditional workflows in these domains are often very labor-intensive, time-consuming, and costly which limits the overall user engagement and creative freedom. To address these challenges, this paper presents a novel user-centric approach that utilizes Generative Adversarial Networks (GANs) to streamline the design process. The proposed system allows architects and users to create customized designs effortlessly by simply iteratively refining house layouts based on user feedback. This approach democratizes the overall design process and makes it more accessible and flexible which enables users to actively participate in shaping their environments. We demonstrate how the GAN-based system can reduce resource demands and simplify the design process through this proposed system which is also a more user-friendly solution compared to conventional methods. This research opens new possibilities for personalized and efficient architectural and virtual world design by bridging the gap between traditional design processes and AI-driven solutions.