Adaptive Hierarchical Down-Sampling for Point Cloud Classification

A survey of downsampling and upsampling methods for 3D Point Cloud ProcessingПодробнее

FastPointCloud DownsamplingПодробнее

Downsampling a Point Cloud data using Voxel Grid (Phương pháp giảm số mẫu bằng Voxel Grid)Подробнее

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive SamplingПодробнее

580 - Dense-Resolution Network for Point Cloud Classification and SegmentationПодробнее

SampleNet: Learning a Differentiable Point Cloud Sampling NetworkПодробнее

3D Point Cloud Classification based on Adaptive Key-point Selection PointNetПодробнее

Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based ModelПодробнее

Model-free Vehicle Tracking and State Estimationin Point Cloud SequencesПодробнее

[CVPR 2020] SampleNet: Differentiable Point Cloud SamplingПодробнее

ANDREI KADYSHEV: POINTLY: 3D POINT CLOUD CLASSIFICATIONПодробнее

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud CompletionПодробнее

Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud ClassificationПодробнее

VFH descriptors with and without down samplingПодробнее

3DmFV: 3D Point Cloud Classification in Real-Time using Convolutional Neural NetworksПодробнее

E20 Guocheng Qian PU GCN Point Cloud Upsampling using Graph Convolutional NetworksПодробнее

PointNet++ | Lecture 43 (Part 2) | Applied Deep LearningПодробнее

Point Cloud Completion by Skip-Attention Network With Hierarchical FoldingПодробнее

Adaptive Pointcloud Segmentation for Assisted InteractionsПодробнее