https://github.com/jsgaobiao/superpoint_graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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/jtpils/treegan
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/jxl152/Point-Transformer
https://github.com/leapmanlab/examples
https://github.com/leofansq/SCF-Net
https://github.com/lifebeyondexpectations/eccv22-pointmixer
https://github.com/lightaime/deep_gcns_torch/tree/master/examples/ogb
https://github.com/lightaime/deep_gcns_torch/tree/master/examples/ogb_eff/ogbn_arxiv_dgl
https://github.com/lingzhang1/ContrastNet
https://github.com/lingzhang1/dgcnn_sampling
https://github.com/lingzhang1/dgcnn_v2
https://github.com/lingzhang1/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/lingzhang1/pointnet_tensorflow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/liuch37/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/llijiang/GuidedContrast
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
https://github.com/llzlcl/pointcloud-segment
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/lucidrains/point-transformer-pytorch
https://github.com/m-117/PointNet-ein-Implementationsbeispiel-mit-Jupyter-Notebooks
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/magicleap/Atlas
https://github.com/matlab-deep-learning/pretrained-salsanext
https://github.com/mengxingshifen1218/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/merazlab/3D_Deep_Learning_Link
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/michal-crosta/GIT19
https://github.com/mindspore-ai/models/tree/master/research/cv/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/minhncedutw/pointnet1_keras
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/mit-han-lab/torchsparse
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/nddoshi/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/neheller/kits21
https://github.com/neheller/kits23
https://github.com/nickgkan/beauty_detr
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/nickgkan/butd_detr
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/nikitakaraevv/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/nnn911/MLSI
https://github.com/oneformer3d/oneformer3d
OneFormer3D: One Transformer for Unified Point Cloud Segmentation
https://github.com/opeco17/pointnet
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.