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pointcloud_homework

pointcloudholefilling

Fills holes in organized point clouds

pointcloudinversion

C++ codes for Point Cloud Inversion. (https://doi.org/10.3390/rs13030338.）

pointcloudlinematching

pointcloudmap

Point Cloud Map

pointcloudmotion

A platform displaying point cloud sequence based on Qt.

pointcloudprocessing

pointcloudrendering

Fast rendering of large point clouds in OpenGL through compute shaders.

pointcloudscissor

A useful tool to cut a set of point cloud into two parts with a designed IoU (overlapping)

pointcloudtools

Massive airborne laser altimetry (ALS) point cloud and digital elevation model (DEM) processing library.

pointcloudviewer

A software for UAV real-time control and laser point cloud display.

pointcloudwirespolesclassifier

pointcutmix

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

pointdsc

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

pointfilter

Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling

pointgroup

pointhop

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

pointhop2

PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

pointmetabase

This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"

pointmlp-pytorch

(ICLR 2022 poster) Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

pointnet_pytorch

pytorch implementation of pointnet and pointnet++

pointnetlk

pointnetvlad

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

pointnext

PyTorch repo for ``PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies''

pointr

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

points2poly

Reconstructing compact building models from point clouds using deep implicit fields

points2surf

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

pointtransformerv2

[NeurIPS 2022] A official PyTorch implementation of PTv2, also a codebase for point cloud recognition research.

pointviewer

A 4D (temporal) point cloud visualisation tool.