217 Open source projects that are alternatives of or similar to geometry-dex

Improved Deep Point Cloud Geometry Compression

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Extension of RealSense Unity Wrapper [Unofficial]

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

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

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

Single shape Deep Point Cloud Consolidation [TOG 2021]

ECCV 2020 papers focusing on point cloud analysis

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

Learning Convolutional Transforms for Point Cloud Geometry Compression

TF2 implementation of PointNet for segmenting point clouds

Point Cloud Compression used in i3s Scene Layer Format

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Las Vegas Reconstruction 2.0

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

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

CVPR 2020 papers focusing on point cloud analysis

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

Edge-detection application with PointCloud Library

Pytorch framework for doing deep learning on point clouds.

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

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

C++ code for triangulating Point Cloud data and displaying it

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

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

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

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

Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)

Algorithm that converts point cloud data into an occupancy grid

Creating real-time dynamic Point Clouds using PyQtGraph, Kinect 2 and the python library PyKinect2.

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

Stream openni2 depth images over the network

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

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

ROS 2 wrapper beta for the ZED SDK

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

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

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

Semantic3D segmentation with Open3D and PointNet++

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

LiDAR fog simulation

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

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

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

Paper list of deep learning on point clouds.

Rust algorithms for isosurface extraction

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

iPhone X -> Unity VFX Graph demo (real-time Point Cloud streaming)

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

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

Augmentation package for 3d data based on albumentaitons

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network