SOTAVerified

3D Part Segmentation

Segmenting 3D object parts

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

Papers

Showing 5175 of 99 papers

TitleStatusHype
PVT: Point-Voxel Transformer for Point Cloud LearningCode1
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis0
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep LearningCode1
Walk in the Cloud: Learning Curves for Point Clouds Shape AnalysisCode1
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks0
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation0
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
PCT: Point cloud transformerCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Point TransformerCode1
ODFNet: Using orientation distribution functions to characterize 3D point cloudsCode0
Point TransformerCode1
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud AnalysisCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences0
Learning to Segment 3D Point Clouds in 2D Image SpaceCode1
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices0
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 Understanding0
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition0
Structural Relational Reasoning of Point Clouds0
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
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