Description
Transitioning from 2D pixel generation to 3D spatial representations using machine learning. We explore Neural Radiance Fields, 3D Gaussian Splatting, and text-to-mesh reconstruction.
Key Topics
- NeRFs vs. 3D Gaussian Splatting: Volumetric ray marching vs. real-time differentiable rasterization of 3D ellipsoids.
- Photogrammetry & Reality Scanning: Mobile scanning (RealityScan) integrated into Unreal Engine and WebGL.
- Text-to-3D Pipelines: InstantMesh, Tripo3D, and SDS (Score Distillation Sampling).