# awesome-point-cloud-learning

**Repository Path**: rgbitx/awesome-point-cloud-learning

## Basic Information

- **Project Name**: awesome-point-cloud-learning
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-19
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

# Awesome Point Cloud Learning
A curated list of papers & resources linked to deep learning on point sets.

- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation[https://arxiv.org/abs/1612.00593] [CVPR2017]

  + [tensorflow][https://github.com/charlesq34/pointnet]

  + [pytorch][https://github.com/fxia22/pointnet.pytorch]

  + [pytorch][https://github.com/erikwijmans/Pointnet2_PyTorch]

- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space[https://arxiv.org/abs/1706.02413] [NIPS2017]
  + [tensorflow][https://github.com/charlesq34/pointnet2]

  + [tensorflow][https://github.com/LinZhuoChen/pointnet2.multigpu]

  + [pytorch][https://github.com/erikwijmans/Pointnet2_PyTorch]

  + [pytorch][https://github.com/eriche2016/pointnet2.pytorch]

- KCNet: Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling[https://arxiv.org/abs/1712.06760] [CVPR2018]

  + [caffe][http://www.merl.com/research/?research=license-request&sw=KCNet]

  + [pytorch][https://github.com/ftdlyc/KCNet_Pytorch]

- Pointwise Convolutional Neural Networks[https://arxiv.org/abs/1712.05245] [CVPR2018]

  + [tensorflow][https://github.com/scenenn/pointwise]

- SO-Net: Self-Organizing Network for Point Cloud Analysis[https://arxiv.org/abs/1803.04249] [CVPR2018]

  + [pytorch][https://github.com/lijx10/SO-Net]

- Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models[https://arxiv.org/abs/1704.01222] [ICCV2017]

  + [pytorch][https://github.com/fxia22/kdnet.pytorch]

- Recurrent Slice Networks for 3D Segmentation of Point Clouds[https://arxiv.org/abs/1802.04402] [CVPR2018]

  + [pytorch][https://github.com/qianguih/RSNet]

- SPLATNet: Sparse Lattice Networks for Point Cloud Processing[https://arxiv.org/abs/1802.08275] [CVPR2018]

  + [caffe][https://github.com/NVlabs/splatnet]

  + [pytorch][https://github.com/ftdlyc/splatnet_pytorch]

- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs[http://arxiv.org/abs/1711.09869] [CVPR2018]

  + [pytorch][https://github.com/loicland/superpoint_graph]

- Dynamic Graph CNN for Learning on Point Clouds[https://github.com/WangYueFt/dgcnn] [arxiv2018]

  + [tensorflow][https://github.com/WangYueFt/dgcnn]

- Local Spectral Graph Convolution for Point Set Feature Learning[https://arxiv.org/abs/1803.05827] [ECCV2018]

  + [tensorflow][https://github.com/fate3439/LocalSpecGCN]

- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters[https://arxiv.org/abs/1803.11527] [ECCV2018]

  + [tensorflow][https://github.com/xyf513/SpiderCNN]

- Point Convolutional Neural Networks by Extension Operators[https://arxiv.org/abs/1803.10091] [SIGGRAPH 2018]

  + [tensorflow][https://github.com/matanatz/pcnn]

- PointCNN: Convolution On X-Transformed Points[<https://arxiv.org/abs/1801.07791>] [NeurIPS 2018]

  + [tensorflow][https://github.com/yangyanli/PointCNN]

  + [mxnet][https://github.com/chinakook/PointCNN.MX]

  + [pytorch][https://github.com/hxdengBerkeley/PointCNN.Pytorch]

- PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation[https://arxiv.org/abs/1807.00652] [arxiv2018]

  + [tensorflow][https://github.com/MVIG-SJTU/pointSIFT]

  + [pytorch][https://github.com/Tommymhz/PointNet.PointNet2.PointSIFT.Pytorch]

- Relation-Shape Convolutional Neural Network for Point Cloud Analysis[https://arxiv.org/pdf/1904.07601.pdf] [CVPR2019]
  + [tensorflow][https://github.com/Yochengliu/Relation-Shape-CNN]
  
- Octree guided CNN with Spherical Kernels for 3D PointClouds[https://arxiv.org/abs/1903.00343] [CVPR2019]
  + [tensorflow][https://github.com/DylanWusee/pointconv]
- Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN[https://arxiv.org/abs/1811.07782] [CVPR2019]
- A-CNN: Annularly Convolutional Neural Networks on Point Clouds[https://arxiv.org/abs/1904.08017] [CVPR2019]
- 3D Point-Capsule Networks[https://arxiv.org/abs/1812.10775] [CVPR2019]
- Associatively Segmenting Instances and Semantics in Point Clouds[https://arxiv.org/abs/1902.09852] [CVPR2019]
  + [tensorflow][https://github.com/WXinlong/ASIS]