SOTAVerified

3D Part Segmentation

Segmenting 3D object parts

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

Papers

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Showing 51–99 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
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
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding—0
SegNeRF: 3D Part Segmentation with Neural Radiance Fields—0
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning—0
PointVector: A Vector Representation In Point Cloud AnalysisCode0
3D Meta-Segmentation Neural Network—0
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis—0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis—0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation—0
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices—0
Spherical Kernel for Efficient Graph Convolution on 3D Point CloudsCode0
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud ProcessingCode0
Interpolated Convolutional Networks for 3D Point Cloud Understanding—0
Structural Relational Reasoning of Point Clouds—0
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition—0
Relation-Shape Convolutional Neural Network for Point Cloud AnalysisCode0
ConvPoint: Continuous Convolutions for Point Cloud ProcessingCode0
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation—0
Octree guided CNN with Spherical Kernels for 3D Point Clouds—0
3D Point Capsule NetworksCode0
PointCNN: Convolution On X-Transformed PointsCode0
Multiview Based 3D Scene Understanding On Partial Point Sets—0
PointConv: Deep Convolutional Networks on 3D Point CloudsCode0
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network—0
MeshCNN: A Network with an EdgeCode0
PointGrid: A Deep Network for 3D Shape UnderstandingCode0
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional FiltersCode0
Point Convolutional Neural Networks by Extension OperatorsCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
SPLATNet: Sparse Lattice Networks for Point Cloud ProcessingCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural NetworksCode0
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55Code0
Submanifold Sparse Convolutional NetworksCode0
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud ModelsCode0
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation—0
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