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Search results for deep learning point cloud

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150 search results found

Torch Points3d ⭐ 2,396

Pytorch framework for doing deep learning on point clouds.

Pointnet2 ⭐ 1,588

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Det3d ⭐ 1,457

World's first general purpose 3D object detection codebse.

Votenet ⭐ 1,357

Deep Hough Voting for 3D Object Detection in Point Clouds

Pyntcloud ⭐ 1,324

pyntcloud is a Python library for working with 3D point clouds.

Frustum Pointnets ⭐ 974

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

Learning Deep Learning ⭐ 943

Paper reading notes on Deep Learning and Machine Learning

Awesome Robotics ⭐ 817

A curated list of awesome links and software libraries that are useful for robots.

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

3dmatch Toolbox ⭐ 467

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Awesome 3d Object Detection ⭐ 437

Papers, code and datasets about deep learning for 3D Object Detection.

Geotransformer ⭐ 422

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Point2mesh ⭐ 408

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Point Transformer Pytorch ⭐ 402

Implementation of the Point Transformer layer, in Pytorch

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

Lidar Mos ⭐ 392

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

Geocode ⭐ 365

GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

Lidar Slam Detection ⭐ 328

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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

Mvimgnet ⭐ 283

CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images

Graspnet Baseline ⭐ 280

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

Superpoint_transformer ⭐ 276

[ICCV'23] Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

3d Point Clouds ⭐ 275

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

Splatnet ⭐ 254

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

Pointnet Autoencoder ⭐ 230

Autoencoder for Point Clouds

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

Frustum Convnet ⭐ 220

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

Pointnet ⭐ 211

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Frustum Convnet ⭐ 196

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

Deepviewagg ⭐ 195

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

Deepmapping ⭐ 191

[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation

2dimageto3dmodel ⭐ 190

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Pointnetvlad ⭐ 184

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

Awsome_deep_geometry_learning ⭐ 181

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

Crosspoint ⭐ 179

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

Semantic3dnet ⭐ 178

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

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

Scanrefer ⭐ 163

[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

Learning_to_sample ⭐ 160

A learned sampling approach for point clouds (CVPR 2019)

Deepi2p ⭐ 155

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

Onsurfaceprior ⭐ 154

Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

Awesome Point Cloud Scene Flow ⭐ 142

A list of point cloud scene flow papers, codes and datasets.

Neuralpull ⭐ 139

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

Deep Learning For Lidar Point Clouds ⭐ 134

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Pointwise ⭐ 129

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Patch-base progressive 3D Point Set Upsampling

Predictablecontextprior ⭐ 125

Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Sparenet ⭐ 119

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

3d_url_survey ⭐ 100

(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Pointnet Keras ⭐ 94

Keras implementation for Pointnet

Flex Convolution ⭐ 93

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

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

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

SQN in Tensorflow (ECCV'2022)

[T-PAMI'22] [Jittor & Pytorch] Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

Minkloc3d ⭐ 78

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

Scan2cap ⭐ 74

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

Minklocmultimodal ⭐ 73

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

Fully Convolutional Point Network ⭐ 73

Fully-Convolutional Point Networks for Large-Scale Point Clouds

Logg3d Net ⭐ 73

[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.

3d Semantic Segmentation ⭐ 69

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

Occlusions 4d ⭐ 66

Revealing Occlusions with 4D Neural Fields (CVPR 2022) - Official Implementation

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

Pcreg.pytorch ⭐ 60

A Simple Point Cloud Registration Network based on PointNet.

Deep Geometric Prior ⭐ 59

The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"

Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"

点云深度学习框架 | Point cloud Deep learning Framework

Awesome 3d Point Cloud Attacks ⭐ 56

List of state of the art papers, code, and other resources

Pointnet2_semantic ⭐ 55

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

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

Detectozord ⭐ 52

utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds

Wild Places ⭐ 51

[ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)

Multibody Sync ⭐ 50

[CVPR'21 Oral] MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

Eventpointpose ⭐ 49

[3DV 2022] Pytorch implementation for 3D Event-based Human Pose Estimation

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Trescope ⭐ 45

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

Cvpr 2020 Point Cloud Analysis ⭐ 44

CVPR 2020 papers focusing on point cloud analysis

DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)

Birdnet2 ⭐ 41

Official Pytorch implementation of Birdnet+

Minkloc3dv2 ⭐ 41

MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

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

Regularized Graph CNN for Point Cloud Segmentation

Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)

3pu_pytorch ⭐ 38

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

Self-Supervised Scene Flow Estimation with 4-D Automotive Radar (RA-L & IROS'22)

Self Sample ⭐ 35

Single shape Deep Point Cloud Consolidation [TOG 2021]

Pointcutmix ⭐ 35

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

Pixano Elements ⭐ 33

Pixano Elements - Re-usable web components dedicated to data annotation tasks.

MaskNet: A Fully Convolutional Network to Estimate Inlier Points

Silhouette Guided 3d ⭐ 30

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

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