311 Open source projects that are alternatives of or similar to Deep Learning For Lidar Point Clouds

CVPR 2020 papers focusing on point cloud analysis

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

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

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

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

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Sample implementation of an application using KinectFusionLib

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

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

Polylidar3D - Fast polygon extraction from 3D Data

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

open Multi-View Stereo reconstruction library

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

This is the official implementation of RSNet.

计算机视觉各个方向论文速览

Cluster based segmentation of Point Cloud with PCL lib in ROS

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

读过的CV方向的一些论文，图像生成文字、弱监督分割等

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

A general 3D object detection codebse.

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

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

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

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

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

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

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

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

Deep Hough Voting for 3D Object Detection in Point Clouds

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Fast and robust algorithm to extract edges in unorganized point clouds

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

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

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

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

CloudCompare main repository

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

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

a list of papers and codes in graphics, computer vision, and HCI

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

Regularized Graph CNN for Point Cloud Segmentation

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

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

Code for Pointwise Convolutional Neural Networks, CVPR 2018

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

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

Render large point clouds and voxel grids with blender.

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

Keras implementation for Pointnet

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

Scripts showcasing filtering techniques applied to point cloud data.

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

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"