Project Overview
This university project expanded on HyperDiffusion by generating neural fields using diffusion models for novel 3D shape generation.
Key Contributions
- Implementation of a pre-processing pipeline to make PartNet meshes suitable for neural field overfitting.
- Implementation of a split neural field where different parts of the network encode different semantical parts of an object.