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 71–80 of 101 papers

TitleStatusHype
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
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space—0
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
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations—0
PU-MFA : Point Cloud Up-sampling via Multi-scale Features AttentionCode0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
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