Sparse-View Surface Reconstruction using Gaussian Splatting through High-Confidence Depth Propagation with Normal Priors
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.