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
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
Patch-Based Deep Autoencoder for Point Cloud Geometry CompressionCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency CheckingCode1
Unsupervised Occupancy Learning from Sparse Point CloudCode1
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
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