305 Open source projects that are alternatives of or similar to Pycpd

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

A collection of GICP-based fast point cloud registration algorithms

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Papers and Datasets about Point Cloud.

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

code/webpage for the DeepMapping project

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

A lean C++ library for working with point cloud data

Multi-threaded and SSE friendly NDT algorithm

[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

Robotics with GPU computing

register 3D point clouds using rotation, translation, and scale transformations.

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

AMWA IS-04 NMOS Discovery and Registration Specification (Stable)

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver

Las Vegas Reconstruction 2.0

Check out the new style for App Design aims for school or colleges...😉😀😁😎

Extension of RealSense Unity Wrapper [Unofficial]

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Pytorch framework for doing deep learning on point clouds.

converts set of point clouds to a video using three.js

A New 3D Detector. Code Will be made public.

Single shape Deep Point Cloud Consolidation [TOG 2021]

A proposal for a system of decentralized trust, built on an open, public blockchain.

Algorithm that converts point cloud data into an occupancy grid

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

ReactJS CRUD Application, ReactJS FileUpload, ReactJS Sample application, ReactJS Boilerplate, ReactJS Login, ReactJS FileUpload, ReactJS Register

Multi primitive-to-primitive (MP2P) ICP algorithms in C++

Learning low-shot object classification with explicit shape bias learned from point clouds

SUSEConnect Client

Bot that offers two step registrations to a matrix-synapse server

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

A tool to align astronomical images based on asterism matching

🐓 API for registration, live-site

A port of the Point Cloud Library (PCL) using Java Native Interface (JNI).

Self-Registration plugin for Kanboard

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

a token based matrix registration api

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

A lightweight python module to interact with atlases for systems neuroscience

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

medical image visualization library and development toolkit

Rust algorithms for isosurface extraction

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"

Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

Augmentation package for 3d data based on albumentaitons

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

[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