265 Open source projects that are alternatives of or similar to awesome-point-cloud-deep-learning

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

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

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

Volumetric Fusion of Multiple Semantic Labels and Masks

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

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

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

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

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

A Paper List for Personalized, Emotional, and stylized Dialog

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

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

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

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

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

Robotics with GPU computing

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

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

Visualising LIDAR data from KITTI dataset.

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

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

The public CGAL repository, see the README below

Python bindings for the Point Cloud Library (PCL)

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

No description or website provided.

The implementation of 3D-UNet using PyTorch

A curated list of Early Exiting papers, benchmarks, and misc.

Collection of papers on Emotion Cause Analysis

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

TF2 implementation of PointNet for segmenting point clouds

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Efficient 3D Deep Learning

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

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

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

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

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

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

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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

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

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

Implementation of the Point Transformer layer, in Pytorch

No description or website provided.

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

orb-slam2 with semantic label

Visual Odometry with Inertial and Depth (VOID) dataset

3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文

Experiments on unsupervised point cloud reconstruction.

3D Graph Neural Networks for RGBD Semantic Segmentation

Papers and Datasets about Point Cloud.

L-CAS 3D Point Cloud Annotation Tool

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

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

Code for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking