There are 28 repositories under surface-reconstruction topic.
[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
Multi-View Environment
[ECCV'20] Convolutional Occupancy Networks
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Polygonal Surface Reconstruction from Point Clouds
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
CityGaussian Series for High-quality Large-Scale Scene Reconstruction with Gaussians
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
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.
scikit-fmm is a Python extension module which implements the fast marching method.
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
Marching cubes with and without color interpolation, and edge subsampling.
Fast and light-weight Marching Cubes library in C++ without any dependencies.
Surface reconstruction library and CLI for particle data from SPH simulations, written in Rust.
Implementation for the "Surface Reconstruction from 3D Line Segments" paper.
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
[CVPR2024] NARUTO: Neural Active Reconstruction
[AAAI'24] NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images "
Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data