SOTAVerified

3D Part Segmentation

Segmenting 3D object parts

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

Papers

Showing 2650 of 99 papers

TitleStatusHype
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 Fields0
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 Learning0
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 Network0
Self-supervised Point Cloud Representation Learning via Separating Mixed ShapesCode1
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