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-------------------------------18 March 2022------------------------------------

1、PointNet++

Weights_trained_on_ShapeNet shows the PointNet++ network we used to gain pretrained models.
The checkpoint floder contains the weights we trained on ShapeNet Dataset.
Please refer the PointNet++ article for more details.

2、mmdection3D

I found mmdetection3D contain some 3D compoment segmentation backbone, but the dataset they used are ScanNet, SUNRGB-D, Waymo, nuScenes, Lyft, and KITTI.

3、3D Part Segmentation on ShapeNet

I found a leadboard : 3D Part Segmentation on ShapeNet dataset.

Model Backbone Url Journal
KPConv CNN-based https://github.com/HuguesTHOMAS/KPConv ICCV 2019
GDANet CNN-based https://github.com/mutianxu/GDANet AAAI2021
Spherical Kernel Graph-Based https://github.com/EnyaHermite/SPH3D-GCN CVPR2019
PointCNN CNN-Based https://github.com/yangyanli/PointCNN NeurIPS 2018
DRNet CNN-Based https://github.com/ShiQiu0419/DRNet WACV 2021
ConvPoint CNN-Based https://github.com/aboulch/ConvPoint/tree/master/examples/shapenet Computers & Graphics 2019
SpiderCNN CNN-Based https://github.com/xyf513/SpiderCNN ECCV 2018
3DGCN Graph-Based https://github.com/zhihao-lin/3dgcn/tree/master/segmentation CVPR2020
Splatnet CNN-Based https://github.com/NVlabs/splatnet CVPR2018
Point Transformer Transformer-Based https://github.com/engelnico/point-transformer IEEE Access 2021
CurveNet CNN-Based https://github.com/tiangexiang/CurveNet#point-cloud-part-segmentation ICCV 2021
PVT Transformer-Based https://github.com/HaochengWan/PVT 2021
PVCNN volumetric CNN-Based https://github.com/Yochengliu/Relation-Shape-CNN CVPR 2019
DGCNN Graph-Based https://github.com/WangYueFt/dgcnn 2018
PCNN CNN-Based https://github.com/matanatz/pcnn SIGGRAPH 2018
SO-Net Graph-Based https://github.com/lijx10/SO-Net CVPR 2018
Pointnet++-SSG MLP-Based https://github.com/charlesq34/pointnet2 NIPS 2017
PointNet++-MSG MLP-Based https://github.com/charlesq34/pointnet2 NIPS 2017
Pointnet MLP-Based https://github.com/charlesq34/pointnet CVPR2017

-------------------------------25 March 2022------------------------------------

4、Lidar SLAM

We published the code we used to gain lidar point clouds in Lidar_SLAM.
The code borrows a lot from Open3d

-------------------------------26 March 2022------------------------------------

5、Registration

Teaser
ICP

Acknowledgement

Our code borrows a lot from:
PointNet++
PointNet
Open3d
Teaser

The code is constantly being updated

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