3D Gaussian Splatting (3DGS) has become a vital tool in novel view synthesis. 3D Gaussian functions with attributes like color, opacity, and scale are stacked together to explicitly model a radiance field. However, discrete 3D Gaussians usually produce poor depth with few geometry details but lots of floaters, which hi...
A normal-guided depth propagation approach is introduced, which can extend depth information from high-confidence regions to constrain the depth in low-confidence areas and an abnormal depth edge-aware regularization is proposed to address depth discontinuities caused by the discreteness of Gaussians.
This paper proposes a novel yet simple partitioning method to efficiently and faithfully reconstruct large-scale scene surfaces and proposes a strategy to detect and repair missing regions in the initial point cloud caused by sparse viewpoints or insufficient textures, thereby further improving the geometric quality.