COMPUTATIONAL DESGIN | 3D Generative Adversarial Network
This project explores how AI-generated volumetric forms can be transformed into architectural space through a computational design process. Using a 3D Generative Adversarial Network (3D-GAN), abstract geometries were generated, curated, and reinterpreted to investigate new modes of form-making and spatial organization. The study reconsiders the role of the designer within an AI-assisted workflow, where algorithmic outcomes become the foundation for architectural imagination.
