surface-reconstruction

[ECCV'20] Convolutional Occupancy Networks

Polygonal Surface Reconstruction from Point Clouds

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

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.

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

scikit-fmm is a Python extension module which implements the fast marching method.

Marching cubes with and without color interpolation, and edge subsampling.

Fast and light-weight Marching Cubes library in C++ without any dependencies.

Implementation for the "Surface Reconstruction from 3D Line Segments" paper.

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details

ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks

Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images "

yak (yet another kinfu) is a library and ROS wrapper for Truncated Signed Distance Fields (TSDFs).