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 1–10 of 101 papers

TitleStatusHype
VGGT: Visual Geometry Grounded TransformerCode11
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial IntelligenceCode4
Curve-Aware Gaussian Splatting for 3D Parametric Curve ReconstructionCode2
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against CorruptionsCode1
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud ReconstructionCode1
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud ReconstructionCode1
Canonical Capsules: Self-Supervised Capsules in Canonical PoseCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
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