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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

Title	Date	Tasks	Status	Hype
VGGT: Visual Geometry Grounded Transformer	Mar 14, 2025	Depth EstimationNovel View Synthesis	CodeCode Available	11
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence	Jul 1, 2024	GPUPoint cloud reconstruction	CodeCode Available	4
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction	Jun 26, 2025	Point cloud reconstruction	CodeCode Available	2
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions	Dec 14, 2024	3D Object Detectionobject-detection	CodeCode Available	1
Unsupervised Occupancy Learning from Sparse Point Cloud	Apr 3, 2024	3D Reconstruction3D Shape Representation	CodeCode Available	1
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction	Dec 6, 2023	Point cloud reconstructionSelf-Supervised Learning	CodeCode Available	1
Lightweight super resolution network for point cloud geometry compression	Nov 2, 2023	DecoderPoint cloud reconstruction	CodeCode Available	1
Variational Autoencoding of Dental Point Clouds	Jul 20, 2023	Computational EfficiencyPoint cloud reconstruction	CodeCode Available	1
PAPR: Proximity Attention Point Rendering	Jul 20, 2023	Multi-View 3D ReconstructionNeural Rendering	CodeCode Available	1
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction	May 4, 2023	Point cloud reconstructionPoint Cloud Registration	CodeCode Available	1

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