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 51–100 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
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
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
Masked Surfel Prediction for Self-Supervised Point Cloud LearningCode1
Masked Autoencoders in 3D Point Cloud Representation LearningCode1
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
Autoregressive 3D Shape Generation via Canonical MappingCode1
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
Local and Global Point Cloud Reconstruction for 3D Hand Pose EstimationCode1
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning—0
Deep Point Cloud Reconstruction—0
PointMixer: MLP-Mixer for Point Cloud UnderstandingCode1
Patch-Based Deep Autoencoder for Point Cloud Geometry CompressionCode1
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
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
Canonical Capsules: Self-Supervised Capsules in Canonical PoseCode1
Set Prediction without Imposing Structure as Conditional Density EstimationCode0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency CheckingCode1
From Image Collections to Point Clouds with Self-supervised Shape and Pose NetworksCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Through the Looking Glass: Neural 3D Reconstruction of Transparent ShapesCode1
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
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
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point CloudCode1
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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