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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
HoloPart: Generative 3D Part Amodal Segmentation—0
Open-Vocabulary Semantic Part Segmentation of 3D Human—0
AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud LearningCode0
Rethinking Masked Representation Learning for 3D Point Cloud UnderstandingCode0
3D Part Segmentation via Geometric Aggregation of 2D Visual FeaturesCode1
Find Any Part in 3DCode2
SAMPart3D: Segment Any Part in 3D ObjectsCode4
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization—0
Search3D: Hierarchical Open-Vocabulary 3D Segmentation—0
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning—0
Part123: Part-aware 3D Reconstruction from a Single-view Image—0
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal ModelCode1
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
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
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic FeaturesCode1
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud ModelsCode1
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—0
Self-positioning Point-based Transformer for Point Cloud UnderstandingCode1
Point2Vec for Self-Supervised Representation Learning on Point CloudsCode1
Attention-based Point Cloud Edge SamplingCode1
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language ModelsCode1
SegNeRF: 3D Part Segmentation with Neural Radiance Fields—0
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
SageMix: Saliency-Guided Mixup for Point CloudsCode1
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans AnalysisCode2
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance SegmentationCode1
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel PromptingCode1
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning—0
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
PointVector: A Vector Representation In Point Cloud AnalysisCode0
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial ShapesCode1
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisCode1
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud SegmentationCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
3D Meta-Segmentation Neural Network—0
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
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