Learning Path

3D Geometry Representations → Differentiable Rendering

This graduate-level path equips researchers and designers with a deep understanding of AI-driven generative design for 3D models. It covers core machine learning concepts, 3D geometry representations, and advanced generative models including GANs and diffusion models, culminating in text-to-3D and optimization-based design methods. The path emphasizes theoretical foundations and practical applications, preparing learners to innovate in this interdisciplinary field.