Baselines Implementations
Large Scale
- RandLA-Net (seg only?) [Torch Point 3D]
- Super point (seg only?) [Official]
- FC point NN (seg only) [Official]
CNN/MLP
- PointNet++ [Torch Geometric] [Torch Point 3D]
- KPConv [Torch Point 3D]
- PointASNL [Official]
- PointCNN [Official] [Torch Geometric] [Torch Point 3D]
- PointConv [Official]
- RS-CNN [Official] [Torch Point 3D]
- Deep Set [Official]
Graph-based
Hierachical and other
- KD-Net [Official/3rd]
- SO-Net [Official]
- ScanNet [Official]
- MeteorNet [Official]
- SampleNet [Official]
Paper & Code Repo
Survey
- Deep Learning for 3D Point Clouds: A Survey
- Deep Learning on Point Clouds and Its Application: A Survey
- Deep Learning for 3D Point Cloud Understanding: A Survey
Graph Neural Network/Deep Learning for Point Cloud
-
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
CVPR, 2017 (citation 2908)
[Torch Geometric] [Torch Point 3D] -
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
NIPS, 2017 (citation 1748)
[Torch Geometric] [Torch Point 3D] -
Dynamic Graph CNN for Learning on Point Clouds
ACM Transactions on Graphics 2019 (citation 681)
[Torch Geometric] -
PointCNN: Convolution on x-transformed points
NIPS 2018 (citation 323)
[Torch Geometric][Torch Point 3D] -
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
CVPR 2017 (citation 361) -
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
ACM MM 2018 (citation 50) -
Grid-GCN for Fast and Scalable Point Cloud Learning
CVPR 2020 -
Graph Attention Convolution for Point Cloud Semantic Segmentation
CVPR 2019 (citation 36) -
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
(citation 235) - Relation-Shape Convolutional Neural Network for Point Cloud Analysis [arXiv] [CVF]
CVPR 2019 (citation 80)
[Official Code][Torch Point 3D] -
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
CVPR 2020 -
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
CVPR 2020 -
KPConv: Flexible and Deformable Convolution for Point Clouds
ICCV 2019 (citation 130)
[Torch Point 3D]
Sampling
- https://arxiv.org/abs/1912.03663(CVPR 2020)
- https://arxiv.org/abs/1904.03375(CVPR 2019 citation:37)
- https://openaccess.thecvf.com/content_CVPRW_2019/papers/UG2+%20Prize%20Challenge/Arief_Density-Adaptive_Sampling_for_Heterogeneous_Point_Cloud_Object_Segmentation_in_Autonomous_CVPRW_2019_paper.pdf(CVPR 2019 citation:2)
- https://arxiv.org/abs/1806.01759(citation: 79)
- https://pdfs.semanticscholar.org/1ef2/549c6a0bb6fbe9bd39af8f2913ce53e02817.pd
- https://arxiv.org/abs/1911.11236 (CVPR2019 citation:51)
TBD
- AIRBORNE LIDAR POINT CLOUD CLASSIFICATION WITH GRAPH ATTENTION CONVOLUTION NEURAL NETWORK
- Graph Attention Neural Networks for Point Cloud Recognition, ICME
- Structure-Aware Graph Construction For Point Cloud Segmentation With Graph Convolutional Networks, ICME
- [arXiv] PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation.
Generation
- FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation(citation 206)
- Point Cloud GAN(citation 52)
test section
Method | Task | Place holder | Implementation |
---|---|---|---|
Dynamic Graph CNN | classification, segmentation | Tensorflow+Pytorch | |
GACNet | classification, segmentation | Tensorflow Pytorch | |
Superpoint Graphs | classification | Pytorch | |
PointCNN | classification, segmentation | Tensorflow Pytorch_geometric |