216 Open source projects that are alternatives of or similar to Rsnet

Point Cloud Library (PCL)

Paper reading notes on Deep Learning and Machine Learning

A general 3D object detection codebse.

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Sample implementation of an application using KinectFusionLib

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

Render large point clouds and voxel grids with blender.

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

A resource repository for 3D machine learning

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

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

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

blender python scripts

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Interactive Map Correction for 3D Graph SLAM

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

Semantic3D segmentation with Open3D and PointNet++

Frustum PointNets for 3D Object Detection from RGB-D Data

A collection of GICP-based fast point cloud registration algorithms

OpenMMLab's next-generation platform for general 3D object detection.

PyTorch implementation of Pointnet2/Pointnet++

R package for airborne LiDAR data manipulation and visualisation for forestry application

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

Point cloud importer & renderer for Unity

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Deep Hough Voting for 3D Object Detection in Point Clouds

A curated list of awesome links and software libraries that are useful for robots.

Regularized Graph CNN for Point Cloud Segmentation

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

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

Convert KITTI dataset to ROS bag file the easy way!

Fast and robust algorithm to extract edges in unorganized point clouds

Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.

Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

3D Heritage Online Presenter

Efficient Global Point-cloud registration

Scripts showcasing filtering techniques applied to point cloud data.

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

Pytorch framework for doing deep learning on point clouds.

3D LIDAR-based Graph SLAM

User-friendly, commercial-grade software for processing aerial imagery. 🛩

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Display of Radiohead's House of Cards point cloud data