A Unified Framework for Surface Reconstruction
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Updated
Oct 24, 2023 - Python
A Unified Framework for Surface Reconstruction
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Polygonal Surface Reconstruction from Point Clouds
[ECCV'20] Convolutional Occupancy Networks
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
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, OSX and Windows.
Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
scikit-fmm is a Python extension module which implements the fast marching method.
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
A Modular Framework for 3D Gaussian Splatting and Beyond
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Fast and light-weight Marching Cubes library in C++ without any dependencies.
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
Fast radial basis function interpolation for large scale data
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