Architectural Layout
Architectural layout design is being revolutionized by AI, focusing on automating the generation and optimization of building designs and neural network architectures. Current research employs graph neural networks, generative adversarial networks (GANs), and large language models (LLMs) to create and analyze architectural layouts, often leveraging disentangled representation learning to improve interpretability and control over generated designs. This work aims to streamline the design process, improve efficiency, and potentially unlock new design possibilities, impacting both architectural practice and the broader field of AI-driven design.
Papers
June 25, 2024
June 20, 2024
March 4, 2024
January 25, 2024
January 15, 2024