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 21–30 of 101 papers

TitleStatusHype
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
Canonical Capsules: Self-Supervised Capsules in Canonical PoseCode1
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency CheckingCode1
From Image Collections to Point Clouds with Self-supervised Shape and Pose NetworksCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Through the Looking Glass: Neural 3D Reconstruction of Transparent ShapesCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point CloudCode1
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
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