Papers with Code 아카이브
3D Part Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 74
Segmenting 3D object parts
<span style="color:grey; opacity: 0.6">( Image credit: MeshCNN: A Network with an Edge )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dgriffiths3/pointnet2-tensorflow2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/donnyruixu/pc-elm-ae
https://github.com/donshen/pointnet.phasedetection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/dream-chaser/pointcnn_for_3DFER
https://github.com/dwtstore/sfm1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/edraizen/molmimic
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/edshkim98/AGCN
https://github.com/edshkim98/GAGCN
https://github.com/elektronn/elektronn3
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/erikwijmans/Pointnet2_PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/eth212/Qmind_ModelNet10_PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/facebookresearch/imvotenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/facebookresearch/votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/fepegar/unet
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/fferroni/fisher_vector_classifier
https://github.com/freddieee/pn_6d_single
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ftdlyc/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/fxia22/kdnet.pytorch
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
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/gvtulder/elasticdeform
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/hansen7/NRS_3D
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/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/houseleo/pointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hqucms/ParticleNet
https://github.com/hxdengBerkeley/PointCNN.Pytorch
https://github.com/hz-ants/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.