Overview

 

 

This flowchart presents a detailed comparison between 3D Gaussian Splatting and Neural Radiance Fields (NeRF), highlighting the complete pipeline and advantages of 3D Gaussian Splatting. The diagram illustrates multiple interconnected workflows and technical comparisons.

The process begins with SFM (Structure from Motion) generating point clouds, which are then converted into 3D Gaussians with three essential parameters: Position, Covariance, and Opacity. The system utilizes Spherical Harmonics for compact representation and includes Adaptive Density Control for optimization. The rendering pipeline features a Tile-based Rasterizer with α Blending that enables "No limit, Very Fast Back Propagation."

The diagram emphasizes the speed advantage of 3D Gaussian Splatting over traditional Radiance Fields, showing "So fast" α Blending versus "So slow" Radiance Field processing, while still achieving "High Quality Novel View Synthesis." It also highlights the challenge that "Estimate Normal is Very difficult" in both SFM and traditional approaches, but demonstrates how 3D Gaussian sets enable effective "Geometry Modeling" through the use of Center mean (μ) and Covariance Matrix (Σ).