SOTAVerified

Point cloud reconstruction

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Papers

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Showing 91–100 of 101 papers

TitleStatusHype
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Silhouette Guided Point Cloud Reconstruction beyond OcclusionCode0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D SupervisionCode0
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single ImageCode0
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point CloudCode1
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
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