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3D Part Segmentation

Segmenting 3D object parts

( Image credit: MeshCNN: A Network with an Edge )

Papers

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Showing 1–50 of 99 papers

TitleStatusHype
SAMPart3D: Segment Any Part in 3D ObjectsCode4
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
PointCNN: Convolution On X-Transformed PointsCode3
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
Find Any Part in 3DCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans AnalysisCode2
PVT: Point-Voxel Transformer for Point Cloud LearningCode1
Point TransformerCode1
Point TransformerCode1
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial ShapesCode1
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceCode1
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud AnalysisCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud ModelsCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic FeaturesCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance SegmentationCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Self-positioning Point-based Transformer for Point Cloud UnderstandingCode1
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud SegmentationCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep LearningCode1
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
Learning to Segment 3D Point Clouds in 2D Image SpaceCode1
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisCode1
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
Attention-based Point Cloud Edge SamplingCode1
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
SageMix: Saliency-Guided Mixup for Point CloudsCode1
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel PromptingCode1
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal ModelCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
3D Part Segmentation via Geometric Aggregation of 2D Visual FeaturesCode1
PartDistill: 3D Shape Part Segmentation by Vision-Language Model DistillationCode1
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood EstimationCode1
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language ModelsCode1
PCT: Point cloud transformerCode1
Walk in the Cloud: Learning Curves for Point Clouds Shape AnalysisCode1
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
Point2Vec for Self-Supervised Representation Learning on Point CloudsCode1
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
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