核心概念
Preserving accurate geometry in Gaussian models enhances rendering quality.
要約
GeoGaussian introduces a novel approach emphasizing geometry preservation in Gaussian models for improved 3D rendering. The method utilizes thin ellipsoids aligned with surfaces and a densification strategy to enhance model representation. Evaluation on public datasets shows superior performance in novel view synthesis compared to state-of-the-art methods.
統計
During the optimization process, approaches prioritize image clarity over geometric fidelity.
GeoGaussian achieves state-of-the-art performance in novel view synthesis and geometric reconstruction.
3DGS has issues with photorealistic rendering in less-textured regions.
GeoGaussian's proposed architecture enhances the generative ability of 3D Gaussians, especially in structured regions.
引用
"The proposed method achieves superior performance in terms of geometry accuracy and photo-realistic novel view rendering compared to state-of-the-art approaches."