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AI-Driven 3D Geometry for Building Design by meerapaul004 is a document available to read on EtoBox.

The document presents a methodology for integrating AI-generated 3D geometry into building design, highlighting the evolution of AI in architecture and its applications in simulation, optimization, and design. It details a step-by-step process involving mesh generation, analysis, voxel generation, optimization, and structure generation using tools like Shap-E, Rhinoceros, and Karamba3D. The work aims to bridge the gap between generative AI outputs and practical architectural applications, with future scope

Author
meerapaul004
Language
EN