SOTAVerified

3D Part Segmentation

Segmenting 3D object parts

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

Papers

Showing 125 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
Find Any Part in 3DCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans AnalysisCode2
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
3D Part Segmentation via Geometric Aggregation of 2D Visual FeaturesCode1
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal ModelCode1
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
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
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
Point2Vec for Self-Supervised Representation Learning on Point CloudsCode1
Self-positioning Point-based Transformer for Point Cloud UnderstandingCode1
Attention-based Point Cloud Edge SamplingCode1
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language ModelsCode1
SageMix: Saliency-Guided Mixup for Point CloudsCode1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
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