225 Open source projects that are alternatives of or similar to fastDesp-corrProp

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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

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

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

No description or website provided.

register 3D point clouds using rotation, translation, and scale transformations.

Implementation of the Point Transformer layer, in Pytorch

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

No description or website provided.

LiDAR fog simulation

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

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

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

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2

The public CGAL repository, see the README below

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

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

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

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

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

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

ECCV 2020 papers focusing on point cloud analysis

MPEG2 transport stream parser for Node.js with support for television broadcast PSIP tables and descriptors

TF2 implementation of PointNet for segmenting point clouds

Experiments on unsupervised point cloud reconstruction.

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

Julia bindings for the displaz lidar viewer

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

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

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Code for PCN: Point Completion Network in 3DV'18 (Oral)

CVPR 2020 papers focusing on point cloud analysis

Robotics with GPU computing

Templated python inferface for Point Cloud Library (PCL) based on Cython

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching

Visualising LIDAR data from KITTI dataset.

30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …

Python bindings for the Point Cloud Library (PCL)

Edge-detection application with PointCloud Library

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

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

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

MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

ROS 2 wrapper beta for the ZED SDK

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Semantic3D segmentation with Open3D and PointNet++

Paper list of deep learning on point clouds.

Efficient 3D Deep Learning