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
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
PartSTAD: 2D-to-3D Part Segmentation Task AdaptationCode2
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans AnalysisCode2
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud UnderstandingCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
Learning to Segment 3D Point Clouds in 2D Image SpaceCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel PromptingCode1
Attention-based Point Cloud Edge SamplingCode1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
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
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud AnalysisCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic FeaturesCode1
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial ShapesCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
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