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-pcl

3d-sis

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

3dgnn_pytorch

3D Graph Neural Networks for RGBD Semantic Segmentation

3dssg

3D scene graph generation using GCN

3dssg-1

asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

asis

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

awesome-3d-point-cloud-semantic-segement

3D点云语义分割汇总

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

class_agnostic_loss_saliency

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

fpconv

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

jsis3d

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

jsnet

JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds, AAAI2020

mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

mvcnn_pytorch

MVCNN on PyTorch

npp

Neural Architecture Search for Joint Human Parsing and Pose Estimation

point-cloud-processing-example

点云库PCL从入门到精通 书中配套案例

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointgroup

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

pointnet2.scannet

PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration

pytorch-enet

PyTorch implementation of ENet

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

scannet

ssma_pytorch

PyTorch port of SSMA (https://github.com/DeepSceneSeg/SSMA/blob/master/models/SSMA.py)

torch-points3d

Pytorch framework for doing deep learning on point clouds.

voxelize3d

3D Point Cloud Voxelization in NumPy