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Search results for pytorch point cloud

106 search results found

Open3d ⭐ 10,498

Open3D: A Modern Library for 3D Data Processing

Mmdetection3d ⭐ 4,497

OpenMMLab's next-generation platform for general 3D object detection.

Openpcdet ⭐ 4,310

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Pointnet_pointnet2_pytorch ⭐ 2,491

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Torch Points3d ⭐ 2,397

Pytorch framework for doing deep learning on point clouds.

3d Pointcloud ⭐ 1,940

Papers and Datasets about Point Cloud.

Spconv ⭐ 1,504

Spatial Sparse Convolution Library

Det3d ⭐ 1,457

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

Pointnet2_pytorch ⭐ 920

PyTorch implementation of Pointnet2/Pointnet++

Pointcept ⭐ 777

Pointcept: a codebase for point cloud perception research. Latest works: PPT, MSC (CVPR'23), PTv2 (NeurIPS'22)

Pointnext ⭐ 695

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Superpoint_graph ⭐ 691

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Dgcnn.pytorch ⭐ 453

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

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

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

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.

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Pointmlp Pytorch ⭐ 316

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

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

Superpoint_transformer ⭐ 276

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

Pointtransformerv2 ⭐ 248

[NeurIPS 2022] An official PyTorch implementation of PTv2 (updated in Pointcept)

Repsurf ⭐ 246

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

Pointnet ⭐ 211

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

Vision3d ⭐ 197

Research platform for 3D object detection in PyTorch.

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.

[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

Unsupervisedpointcloudreconstruction ⭐ 154

Experiments on unsupervised point cloud reconstruction.

3dgnn_pytorch ⭐ 142

3D Graph Neural Networks for RGBD Semantic Segmentation

Deep Learning For Lidar Point Clouds ⭐ 134

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

Sa Det3d ⭐ 132

SA-Det3D: Self-attention based Context-Aware 3D Object Detection (ICCV-AvVision-2021)

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Deltaconv ⭐ 119

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

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

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

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

Pytorch implementation of PCPNet

Scan2cap ⭐ 74

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

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.

Pytorch_semantic_segmentation ⭐ 73

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer

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

Mvp_benchmark ⭐ 68

MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration

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

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

Pugan Pytorch ⭐ 63

Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)

D3feat.pytorch ⭐ 59

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Softpool ⭐ 56

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification, accepted in ECCV 2020 as oral

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

Multi_part_assembly ⭐ 51

Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch

[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch

Eventpointpose ⭐ 49

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

Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications

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

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

Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]

Flownet3d_pytorch ⭐ 41

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

Birdnet2 ⭐ 41

Official Pytorch implementation of Birdnet+

Point2vec ⭐ 40

Self-Supervised Representation Learning on Point Clouds (GCPR 2023 | T4V Workshop @ CVPR 2023)

Pointnet_pytorch ⭐ 40

This is the pytorch implementation of PointNet on semantic segmentation task.

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

3pu_pytorch ⭐ 38

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

Qecnetworks ⭐ 37

Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"

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

PVT: Point-Voxel Transformer for 3D Deep Learning

Self Sample ⭐ 35

Single shape Deep Point Cloud Consolidation [TOG 2021]

Attentional Pointnet ⭐ 34

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

Sggpoint ⭐ 34

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

Pointcloudengine ⭐ 34

Point Cloud Rendering Engine with Octree Generation, Splat Blending, Phong Lighting and Neural Network Evaluation

Pu Net_pytorch ⭐ 33

PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

Pointnet2 Pytorch ⭐ 33

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

Adaptive Surface Reconstruction ⭐ 32

Adaptive Surface Reconstruction for 3D Data Processing

Demo code for the paper: OccAM's Laser

Pointmixup ⭐ 30

Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation

Mmdetection3d Note ⭐ 29

mmdetection3d 代码重点注解笔记

If Defense ⭐ 28

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

Hindsight ⭐ 28

Code release for "Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception" [ICLR 2022]

Ppf Foldnet ⭐ 26

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Neuralpull Pytorch ⭐ 22

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

Geometric_adv ⭐ 21

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

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)

Pointcloududa ⭐ 19

[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.

[CVPR 2023] Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds

[AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection

Frustum Pointpillars ⭐ 17

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

Fastflow3d ⭐ 16

Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.

Dipole Normal Prop ⭐ 16

Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]

[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation

PccAI is a framework for AI-based point cloud compression

3d Bounding Boxes From Monocular Images ⭐ 15

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Pytorch_points ⭐ 14

a pytorch extension for learning point clouds

Pointcont ⭐ 14

Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"

Neuralpci ⭐ 14

✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

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