[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
A Unified Framework for Surface Reconstruction
A Modular Framework for 3D Gaussian Splatting and Beyond
The Multi-View Environment: End-to-end image-based reconstruction (SfM, MVS, surface reconstruction)
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
[ECCV'20] Convolutional Occupancy Networks
CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
#计算机科学#Learning Implicit Surfaces from Point Clouds (ECCV 2020)
A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Linux...
Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
scikit-fmm is a Python extension module which implements the fast marching method.