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 51–60 of 101 papers

TitleStatusHype
StarNet: Style-Aware 3D Point Cloud Generation—0
Category-level Shape Estimation for Densely Cluttered Objects—0
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionCode0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery—0
Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose EstimationCode1
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space—0
Sparse2Dense: Learning to Densify 3D Features for 3D Object DetectionCode1
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsCode0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
Self-Distillation for Unsupervised 3D Domain Adaptation—0
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