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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

Paperlist of awesome 3D detection methods

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

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

Differentiable Surface Splatting

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

orb-slam2 with semantic label

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

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

code/webpage for the DeepMapping project

3D Heritage Online Presenter

Research platform for 3D object detection in PyTorch.

CloudCompare main repository

Implementation of the Point Transformer layer, in Pytorch

Code for Pointwise Convolutional Neural Networks, CVPR 2018

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

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

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Keras implementation for Pointnet

Python binding of 3D visualization library Pangolin

This is the official implementation of RSNet.

Papers and Datasets about Point Cloud.

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

Neural Point-Based Graphics

Grid-GCN for Fast and Scalable Point Cloud Learning

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

A hackable lidar viewer

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

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Patch-base progressive 3D Point Set Upsampling

The open source mesh processing system

Lightweight and Accurate Point Cloud Clustering

Python bindings for the Point Cloud Library (PCL)

Cluster based segmentation of Point Cloud with PCL lib in ROS

A high-performance neural network library for point cloud processing.

A learned sampling approach for point clouds (CVPR 2019)

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

open Multi-View Stereo reconstruction library

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Visualising LIDAR data from KITTI dataset.

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

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

Polylidar3D - Fast polygon extraction from 3D Data

3D Graph Neural Networks for RGBD Semantic Segmentation

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

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

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

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

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

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

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

L-CAS 3D Point Cloud Annotation Tool

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.

The public CGAL repository, see the README below

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

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