3 papers
cs.CV2026
DepthGS: Depth-Guided Gaussian Splatting with Adaptive Regularization for High-Quality Surface Reconstruction
Xiao Ren, Yu Liu, Ning An +4
Recently, 3D Gaussian Splatting (3DGS) has emerged as an efficient representation for novel view synthesis, offering fast differentiable rendering and high visual fidelity, and has…
cs.CV2026
GSM-GS: Geometry-Constrained Single and Multi-view Gaussian Splatting for Surface Reconstruction
Xiao Ren, Yu Liu, Ning An +3
Recently, 3D Gaussian Splatting has emerged as a prominent research direction owing to its ultrarapid training speed and high-fidelity rendering capabilities. However, the unstruct…
cs.CV2024
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Tianqi Shen, Shaohua Liu, Jiaqi Feng +2
Gaussian Splatting (GS) has emerged as a crucial technique for representing discrete volumetric radiance fields. It leverages unique parametrization to mitigate computational deman…