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 76–100 of 101 papers

TitleStatusHype
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
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
Set Prediction without Imposing Structure as Conditional Density EstimationCode0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Silhouette Guided Point Cloud Reconstruction beyond OcclusionCode0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D SupervisionCode0
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single ImageCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
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