216 Open source projects that are alternatives of or similar to Awesome 3d Detectors

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

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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

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

A learned sampling approach for point clouds (CVPR 2019)

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

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

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

Polylidar3D - Fast polygon extraction from 3D Data

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

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

Cluster based segmentation of Point Cloud with PCL lib in ROS

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

Grid-GCN for Fast and Scalable Point Cloud Learning

Sample implementation of an application using KinectFusionLib

open Multi-View Stereo reconstruction library

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

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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 general 3D object detection codebse.

Patch-base progressive 3D Point Set Upsampling

Render large point clouds and voxel grids with blender.

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

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

3D LIDAR-based Graph SLAM

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

3D Heritage Online Presenter

Code for Pointwise Convolutional Neural Networks, CVPR 2018

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

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Deep Hough Voting for 3D Object Detection in Point Clouds

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Fast and robust algorithm to extract edges in unorganized point clouds

code/webpage for the DeepMapping project

Pytorch framework for doing deep learning on point clouds.

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

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

Python binding of 3D visualization library Pangolin

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Regularized Graph CNN for Point Cloud Segmentation

Keras implementation for Pointnet

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

Neural Point-Based Graphics

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

A list of resources about deep learning solutions on 3D shape processing

Scripts showcasing filtering techniques applied to point cloud data.

CloudCompare main repository

This is the official implementation of RSNet.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Lightweight and Accurate Point Cloud Clustering

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