Ericgeese

skeleton-tracing

A new algorithm for retrieving topological skeleton as a set of polylines from binary images

pbrt-v4

Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

CCCoreLib

C++ library which provides data structures & algorithms for working with 3D point cloud data

extract-raster-network

Extract a network graph (nodes and edges) from a raster image

fcl

Flexible Collision Library

lbvh

A library for constructing and traversing LBVHs.

GeometricTools

A collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.

PQP

A library for performing proximity queries on a pair of geometric models composed of triangles

helios

awesome-planar-reconstruction

A curated list on piecewise-planar reconstruction

Deep_blind_PnP

Learning 2D–3D Correspondences To Solve The Blind Perspective-n-Point Problem

DeepI2P

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

CorrI2P

[TCSVT] CorrI2P: Deep Image-to-Point Cloud Registration via Dense CorrespondenceThe code of CorrI2P

SARNet

code for 《SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds》

RandLA-Net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

HRegNet

[ICCV 2021] HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

PiFeNet

Official implementation of PiFeNet

escnn

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

SS-Conv

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

GeoTransformer

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Globally-optimal-vertical-direction-estimation-in-Atlanta-world

Globally optimal vertical direction estimation in Atlanta world

USIP

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. ICCV 2019

D3Feat.pytorch

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

D3Feat

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

PillarNet-LTS

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

GndNet

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.