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High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_34openalex-snapshot
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_20openalex-snapshot
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
inferredcites →https://doi.org/10.1007/978-3-540-74976-9_8openalex-snapshot
Efficient AUC Optimization for Classification
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_2openalex-snapshot
SEEDS: Superpixels Extracted via Energy-Driven Sampling
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2015.7298863openalex-snapshot
Completing 3D object shape from one depth image
inferredcites →https://doi.org/10.1109/cvpr.2016.612openalex-snapshot
A Field Model for Repairing 3D Shapes
inferredcites →https://doi.org/10.1109/cvpr.2017.693openalex-snapshot
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
inferredcites →https://doi.org/10.1109/iros.2015.7353446openalex-snapshot
Multimodal deep learning for robust RGB-D object recognition
inferredcites →https://doi.org/10.1109/iros.2017.8206060openalex-snapshot
Shape completion enabled robotic grasping
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01389.xopenalex-snapshot
Completion and Reconstruction with Primitive Shapes
inferredcites →https://doi.org/10.1111/j.1467-8659.2011.02030.xopenalex-snapshot
VASE: Volume‐Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds
inferredcites →https://doi.org/10.1145/1399504.1360642openalex-snapshot
Discovering structural regularity in 3D geometry
inferredcites →https://doi.org/10.1145/1778765.1778831openalex-snapshot
Non-local scan consolidation for 3D urban scenes
inferredcites →https://doi.org/10.1145/1866158.1866178openalex-snapshot
Analysis, reconstruction and manipulation using arterial snakes
inferredcites →https://doi.org/10.1145/1882261.1866178openalex-snapshot
Analysis, reconstruction and manipulation using arterial snakes
inferredcites →https://doi.org/10.1145/2366145.2366199openalex-snapshot
Structure recovery by part assembly
inferredcites →https://doi.org/10.1145/2532548openalex-snapshot
Context-based coherent surface completion
inferredcites →https://doi.org/10.1145/2816795.2818094openalex-snapshot
Data-driven structural priors for shape completion
inferredcites →https://doi.org/10.1145/37401.37422openalex-snapshot
Marching cubes: A high resolution 3D surface construction algorithm
inferredcites →https://doi.org/10.2312/egst.20141040openalex-snapshot
State of the Art in Surface Reconstruction from Point Clouds
inferredcites →https://doi.org/10.2312/sgp/sgp05/023-032openalex-snapshot
Example-Based 3D Scan Completion
inferredcites →https://doi.org/10.2312/sgp/sgp06/061-070openalex-snapshot
Poisson Surface Reconstruction
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1211.5590openalex-snapshot
Theano: new features and speed improvements
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1505.00393openalex-snapshot
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1512.03012openalex-snapshot
ShapeNet: An Information-Rich 3D Model Repository
inferredcites →https://doi.org/10.5281/zenodo.10089705openalex-snapshot
ShapeNet: An Information-Rich 3D Model Repository
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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GRNet: Gridding Residual Network for Dense Point Cloud Completion
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Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks
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A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge
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Generative Modeling in Application to Point Cloud Completion
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Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization
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Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge
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Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
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SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
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Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network
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MRAC-Net: Multi-resolution Anisotropic Convolutional Network for 3D Point Cloud Completion
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Improving the Automatic Cranial Implant Design in Cranioplasty by Linking Different Datasets
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Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
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Point Scene Understanding via Disentangled Instance Mesh Reconstruction
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SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer
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DeepMend: Learning Occupancy Functions to Represent Shape for Repair
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PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation
inferred← citeshttps://doi.org/10.1007/978-3-031-21083-9_6openalex-snapshot
Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-25072-9_19openalex-snapshot
TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network
inferred← citeshttps://doi.org/10.1007/978-3-031-26293-7_7openalex-snapshot
End-to-End Surface Reconstruction for Touching Trajectories
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Generating 3D Reconstructions Using Generative Models
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TNT-Net: Point Cloud Completion by Transformer in Transformer
inferred← citeshttps://doi.org/10.1007/978-3-031-72907-2_6openalex-snapshot
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy
inferred← citeshttps://doi.org/10.1007/978-3-031-72973-7_16openalex-snapshot
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype
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AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
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EINet: Point Cloud Completion via Extrapolation and Interpolation
inferred← citeshttps://doi.org/10.1007/978-981-95-0648-4_8openalex-snapshot
Object Completion from Point Clouds
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Realistic and Visually-Pleasing 3D Generation of Indoor Scenes from a Single Image
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Point Enhancement Network Based on Gated Convolutional Units for 3D Shape Completion
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Deep-Learning-Based Point Cloud Enhancement II
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A robust framework for multi-view stereopsis
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Three-stage generative network for single-view point cloud completion
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EC-FBNet: embeddable converged front- and back-end network for 3D reconstruction in low-light-level environment
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A cascaded graph convolutional network for point cloud completion
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Edge-guided generative network with attention for point cloud completion
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Data-free neural mesh inpainting: preserving topology and geometry
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EA-EDNet: encapsulated attention encoder-decoder network for 3D reconstruction in low-light-level environment
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Shape completion using orthogonal views through a multi-input–output network
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An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles
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TopologyFormer: structure transformer assisted topology reconstruction for point cloud completion
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Learning 3D Shape Completion Under Weak Supervision
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3D Semantic Scene Completion: A Survey
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Data-Driven Restoration of Digital Archaeological Pottery with Point Cloud Analysis
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Learning Geometric Transformation for Point Cloud Completion
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PointSea: Point Cloud Completion via Self-structure Augmentation
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Multi-feature fusion point cloud completion network
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Digital image enhancement, 3D modelling and reconstruction of underwater terracotta object
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A comparative visualization tool for ocean data analysis based on mode water regions
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Scnet: shape-aware convolution with KFNN for point clouds completion
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Automated building change detection with amodal completion of point clouds
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MPGLNet: Multi-scale progressive global–local fusion dental point cloud complementation network
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POPNet: A point offset prediction network for topology-preserving hole-filling in 3D intraoral scans
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IMMAT: Mesh Reconstruction from Single View Images by Medial Axis Transform Prediction
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Inpainting holes in folded fabric meshes
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Towards multi-view consistency in neural ray fields using parametric medial surfaces
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Neural Inpainting of Folded Fabrics with Interactive Editing
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Multi-stage point completion network with critical set supervision
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A hybrid 3D object auto-completion approach with self-supervised data augmentation for fragments of archaeological objects
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Dual adversarial model: Exploring low-dimensional space features for point clouds generating and completing
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Image amodal completion: A survey
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View-to-label: Multi-view consistency for self-supervised monocular 3D object detection
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GAGAN: Geometry-aware generative adversarial network with progressive refinement for point cloud completion
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Deep-learning-based point cloud completion methods: A review
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Point cloud completion using multiscale feature fusion and cross-regional attention
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CDAF: Cross-Modal and Dual-channel Upsample Adaptive Fusion network for Point Cloud Completion
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MAENet: Boost image-guided point cloud completion more accurate and even
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Automatic skull defect restoration and cranial implant generation for cranioplasty
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Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge
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3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point
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Enhancing Performance of 3D Point Completion Network using Consistency Loss
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SwiftPCN: Fast, implementation-efficient, and accurate point cloud completion network with flexible output resolution
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Three-dimensional deep learning to automatically generate cranial implant geometry
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Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
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An event-oriented diffusion-refinement method for sparse events completion
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An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm
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Three‐dimensional shape reconstruction of objects from a single depth view using deep U‐Net convolutional neural network with bottle‐neck skip connections
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Robust 3D face reconstruction from single noisy depth image through semantic consistency
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Point completion by a Stack‐Style Folding Network with multi‐scaled graphical features
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A Streamlined Laser Scanning Verticality Check Method for Installation of Prefabricated Wall Panels
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TreegrowNet: a completion network for incomplete single tree point cloud from TLS
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KAPLAN: A 3D Point Descriptor for Shape Completion
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VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by Learning Sparse Implicit Point Guidance
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GASCN: Graph Attention Shape Completion Network
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Dual Intercommunication Network: Enabling Interhemispheric Communications in Hemisphere-Inspired ANNs
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Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud
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An Improved Point Cloud Completion Method Based on SnowflakeNet
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Deep Neural Network for 3D Point Cloud Completion with Multistage Loss Function
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Deep neural architecture for geospatial trajectory completion over occupancy gridmap
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Towards Richer 3D Reference Maps in Urban Scenes
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A Papier-Mache Approach to Learning 3D Surface Generation
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Deformable Shape Completion with Graph Convolutional Autoencoders
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Learning 3D Shape Completion from Laser Scan Data with Weak Supervision
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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00981openalex-snapshot
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00025openalex-snapshot
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00032openalex-snapshot
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00047openalex-snapshot
TopNet: Structural Point Cloud Decoder
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00467openalex-snapshot
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images
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Scan2Mesh: From Unstructured Range Scans to 3D Meshes
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00705openalex-snapshot
GeoNet: Deep Geodesic Networks for Point Cloud Analysis
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01037openalex-snapshot
Deep Geometric Prior for Surface Reconstruction
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00061openalex-snapshot
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00087openalex-snapshot
Cascaded Refinement Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00093openalex-snapshot
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00201openalex-snapshot
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00217openalex-snapshot
RevealNet: Seeing Behind Objects in RGB-D Scans
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00768openalex-snapshot
PF-Net: Point Fractal Network for 3D Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00458openalex-snapshot
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00460openalex-snapshot
Denoise and Contrast for Category Agnostic Shape Completion
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00596openalex-snapshot
Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00736openalex-snapshot
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01151openalex-snapshot
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01288openalex-snapshot
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01511openalex-snapshot
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01563openalex-snapshot
View-Guided Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01305openalex-snapshot
AnchorFormer: Point Cloud Completion from Discriminative Nodes
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01937openalex-snapshot
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-Rigid Shape Reconstruction and Tracking
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00055openalex-snapshot
Two Stream 3D Semantic Scene Completion
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00141openalex-snapshot
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00334openalex-snapshot
Multimodal Shape Completion via Implicit Maximum Likelihood Estimation
inferred← citeshttps://doi.org/10.1109/ddcls66240.2025.11065781openalex-snapshot
FeedPoinTrS: Integrating Feedback Control in the PoinTr Series for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/eiecc60864.2023.10456736openalex-snapshot
3DCSCN: 3D Cascade Shape Completion Network Based On Single Depth View
inferred← citeshttps://doi.org/10.1109/euvip58404.2023.10323062openalex-snapshot
Medical Point Clouds Enhancement at the Network Edge
inferred← citeshttps://doi.org/10.1109/hpcc64274.2024.00058openalex-snapshot
Attention Based Multi-Scale Feature Fusion for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iaeac50856.2021.9390755openalex-snapshot
A Deep Learning Method Based on Structure Inference for Single-view 3D Reconstruction
inferred← citeshttps://doi.org/10.1109/iccv.2019.00220openalex-snapshot
Semi-Supervised Skin Detection by Network With Mutual Guidance
inferred← citeshttps://doi.org/10.1109/iccv.2019.00870openalex-snapshot
ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image
inferred← citeshttps://doi.org/10.1109/iccv.2019.01006openalex-snapshot
Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01226openalex-snapshot
ME-PCN: Point Completion Conditioned on Mask Emptiness
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01227openalex-snapshot
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01228openalex-snapshot
RFNet: Recurrent Forward Network for Dense Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01294openalex-snapshot
Voxel-based Network for Shape Completion by Leveraging Edge Generation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01112openalex-snapshot
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01320openalex-snapshot
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01334openalex-snapshot
SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00506openalex-snapshot
Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00277openalex-snapshot
Artist-Created Mesh Generation from Raw Observation
inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897725openalex-snapshot
Point Cloud Completion By Minimizing Prediction Errors In Both 2D And 3D Spaces
inferred← citeshttps://doi.org/10.1109/icip46576.2022.9898044openalex-snapshot
Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion
inferred← citeshttps://doi.org/10.1109/icma57826.2023.10215708openalex-snapshot
A Global Perception Attention-based Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859918openalex-snapshot
PDP-NET: Patch-Based Dual-Path Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/icpr.2018.8546232openalex-snapshot
Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with VAE-GAN
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412675openalex-snapshot
Towards Efficient 3D Point Cloud Scene Completion via Novel Depth View Synthesis
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9413104openalex-snapshot
Cross-Regional Attention Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956045openalex-snapshot
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197320openalex-snapshot
Beyond Top-Grasps Through Scene Completion
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160350openalex-snapshot
3DSGrasp: 3D Shape-Completion for Robotic Grasp
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160365openalex-snapshot
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127496openalex-snapshot
PhysPart: Physically Plausible Part Completion for Interactable Objects
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10611144openalex-snapshot
PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network
inferred← citeshttps://doi.org/10.1109/iementech202669403.2026.11434283openalex-snapshot
Structure-Aware Image Inpainting Using GANs with Low-Rank Regularization
inferred← citeshttps://doi.org/10.1109/ijcb52358.2021.9484379openalex-snapshot
3D Face Point Cloud Super-Resolution Network
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650392openalex-snapshot
TNT-Net++: Point Cloud Completion by Transformer in Transformer with Dynamic Seed Generator
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229246openalex-snapshot
Hierarchical Distribution-Aware Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iros.2018.8594391openalex-snapshot
Incremental Object Database: Building 3D Models from Multiple Partial Observations
inferred← citeshttps://doi.org/10.1109/iros40897.2019.8967816openalex-snapshot
Robust Grasp Planning Over Uncertain Shape Completions
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981829openalex-snapshot
HyperPocket: Generative Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636483openalex-snapshot
PCTMA-Net: Point Cloud Transformer with Morphing Atlas-based Point Generation Network for Dense Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11245992openalex-snapshot
Measuring Uncertainty in Shape Completion to Improve Grasp Quality
inferred← citeshttps://doi.org/10.1109/isbi61048.2026.11516056openalex-snapshot
Segmentation From Partial Views Via Patient-Specific Shape Priors
inferred← citeshttps://doi.org/10.1109/jbhi.2020.3048327openalex-snapshot
Assessment of Daily Routine Uniformity in a Smart Home Environment Using Hierarchical Clustering
inferred← citeshttps://doi.org/10.1109/jsen.2020.2974253openalex-snapshot
3D Topography Measurement and Completion Method of Blast Furnace Burden Surface Using High-Temperature Industrial Endoscope
inferred← citeshttps://doi.org/10.1109/jsen.2023.3293515openalex-snapshot
3ONet: 3-D Detector for Occluded Object Under Obstructed Conditions
inferred← citeshttps://doi.org/10.1109/jsen.2026.3722855openalex-snapshot
MLCompletion: Point Cloud Completion via Multiview Feature Augmentation and Progressive Refinement
inferred← citeshttps://doi.org/10.1109/jstars.2024.3362476openalex-snapshot
A Survey of Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/lra.2020.2994483openalex-snapshot
ECG: Edge-aware Point Cloud Completion with Graph Convolution
inferred← citeshttps://doi.org/10.1109/lra.2021.3097081openalex-snapshot
Graph-Guided Deformation for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/lra.2022.3146585openalex-snapshot
Temporal Point Cloud Completion With Pose Disturbance
inferred← citeshttps://doi.org/10.1109/lra.2022.3152975openalex-snapshot
Active Visuo-Haptic Object Shape Completion
inferred← citeshttps://doi.org/10.1109/rcar58764.2023.10249720openalex-snapshot
3D Vision Based Lamination Gap Detection of Carbon Fiber Composite
inferred← citeshttps://doi.org/10.1109/rtcsa58653.2023.00012openalex-snapshot
Self-Supervised Multi-LiDAR Object View Generation Using Single LiDAR
inferred← citeshttps://doi.org/10.1109/sitis.2019.00039openalex-snapshot
Template-Based Surface Estimation Using Statistical Shape Model
inferred← citeshttps://doi.org/10.1109/siu53274.2021.9477918openalex-snapshot
GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds
inferred← citeshttps://doi.org/10.1109/smc.2018.00306openalex-snapshot
An Attempt at Autonomous Identification of Neuronal Activity Patterns in Dissociated Neuronal Network, by Multi-layered Artificial Neuronal Network
inferred← citeshttps://doi.org/10.1109/tai.2025.3553456openalex-snapshot
CenFormer: Transformer-Based Network From Centroid Generation for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3204771openalex-snapshot
Projected Generative Adversarial Network for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/tetci.2024.3375614openalex-snapshot
Point Cloud Completion via Relative Point Position Encoding and Regional Attention
inferred← citeshttps://doi.org/10.1109/tetci.2025.3575396openalex-snapshot
FGCNet: Face Geometry-Constrained Network for Face Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3105551openalex-snapshot
Dense Point Cloud Completion Based on Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/tip.2020.3008367openalex-snapshot
Truncated Low-Rank and Total p Variation Constrained Color Image Completion and its Moreau Approximation Algorithm
inferred← citeshttps://doi.org/10.1109/tip.2025.3597041openalex-snapshot
CompletionMamba: Taming State Space Model for Point Cloud Completion
inferred← citeshttps://doi.org/10.1109/tip.2025.3633566openalex-snapshot
Multidimensional Imaging Data Completion via Weighted Three-Directional Minimax Concave Penalty Regularization
inferred← citeshttps://doi.org/10.1109/tip.2026.3728606openalex-snapshot
VFC-Net: Point Cloud Completion via Voxel-Based Transformer
inferred← citeshttps://doi.org/10.1109/tits.2022.3195555openalex-snapshot
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
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