SOTAVerified

Point cloud reconstruction

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

Papers

Showing 1120 of 101 papers

TitleStatusHype
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency CheckingCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
From Image Collections to Point Clouds with Self-supervised Shape and Pose NetworksCode1
Masked Autoencoders in 3D Point Cloud Representation LearningCode1
Canonical Capsules: Self-Supervised Capsules in Canonical PoseCode1
Energy-Based Sliced Wasserstein DistanceCode1
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
Lightweight super resolution network for point cloud geometry compressionCode1
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud ReconstructionCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
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