https://github.com/freddieee/pn_6d_single
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Papers with Code 아카이브
3D Semantic Segmentation
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3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ftdlyc/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/fxia22/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/genglinliu/KPConv_Pytorch
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/gofinge/pointtransformerv2
https://github.com/hansen7/NRS_3D
https://github.com/happytianhao/tade
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
https://github.com/hehefan/P4Transformer
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PSTNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/Point-Spatio-Temporal-Convolution
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PointRNN
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PointRNN-PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hjwdzh/TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
https://github.com/hlinchen/gnesf
https://github.com/hnVfly/pointnet.mxnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hnmspirit/pointnet1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hoangcuongbk80/VoteGrasp
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hongfz16/DS-Net
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
https://github.com/houseleo/pointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hqucms/ParticleNet
https://github.com/huixiancheng/PCB-RandNet
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
https://github.com/huixiancheng/no-cpgnet
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
https://github.com/hustvl/HAIS
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
https://github.com/hz-ants/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/iballester/SPiKE
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/idsia-robotics/RandLA-Net-pytorch
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
https://github.com/ieee8023/ct-counterfactuals
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
https://github.com/ikh-innovation/roboweldar-votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/imanlab/deep_movement_primitives
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/intel-isl/Open3D-ML
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
https://github.com/irmvlab/point-mamba
https://github.com/isl-org/Open3D-ML
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/isunLt/PolarSeg
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
https://github.com/johnsonsign/mast-pre
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/jonasschult/mask3d
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
https://github.com/joyhsu0504/ns3d
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.