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 81–90 of 101 papers

TitleStatusHype
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning—0
Deep Point Cloud Reconstruction—0
Differentiable Spline Approximations—0
Lidar Range Image Compression with Deep Delta Encoding—0
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy DiscrepancyCode0
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