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3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

https://doi.org/10.1109/iccv.2019.00396

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_7openalex-snapshot

Multiresolution Tree Networks for 3D Point Cloud Processing

inferredcites →https://doi.org/10.1007/978-3-030-01237-3_49openalex-snapshot

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_4openalex-snapshot

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_20openalex-snapshot

Generative Image Modeling Using Style and Structure Adversarial Networks

inferredcites →https://doi.org/10.1016/j.neunet.2019.09.010openalex-snapshot

Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning

inferredcites →https://doi.org/10.1109/cvpr.2013.403openalex-snapshot

Label Propagation from ImageNet to 3D Point Clouds

inferredcites →https://doi.org/10.1109/cvpr.2014.46openalex-snapshot

Object Partitioning Using Local Convexity

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.2016.178openalex-snapshot

Contour Detection in Unstructured 3D Point Clouds

inferredcites →https://doi.org/10.1109/cvpr.2016.283openalex-snapshot

Blockout: Dynamic Model Selection for Hierarchical Deep Networks

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2016.94openalex-snapshot

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

inferredcites →https://doi.org/10.1109/cvpr.2017.261openalex-snapshot

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

inferredcites →https://doi.org/10.1109/cvpr.2017.264openalex-snapshot

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

inferredcites →https://doi.org/10.1109/cvpr.2017.324openalex-snapshot

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot

Image-to-Image Translation with Conditional Adversarial Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00029openalex-snapshot

FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation

inferredcites →https://doi.org/10.1109/cvpr.2018.00472openalex-snapshot

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00577openalex-snapshot

Generative Image Inpainting with Contextual Attention

inferredcites →https://doi.org/10.1109/cvpr.2018.00579openalex-snapshot

Conditional Image-to-Image Translation

inferredcites →https://doi.org/10.1109/cvpr.2018.00643openalex-snapshot

SeGAN: Segmenting and Generating the Invisible

inferredcites →https://doi.org/10.1109/cvpr.2018.00937openalex-snapshot

VITAL: VIsual Tracking via Adversarial Learning

inferredcites →https://doi.org/10.1109/cvpr.2018.00963openalex-snapshot

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

inferredcites →https://doi.org/10.1109/iccv.2013.180openalex-snapshot

3D Scene Understanding by Voxel-CRF

inferredcites →https://doi.org/10.1109/iccv.2017.99openalex-snapshot

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

inferredcites →https://doi.org/10.1145/1374376.1374452openalex-snapshot

Random projection trees and low dimensional manifolds

inferredcites →https://doi.org/10.1145/3326362openalex-snapshot

Dynamic Graph CNN for Learning on Point Clouds

inferredcites →https://doi.org/10.24963/ijcai.2018/557openalex-snapshot

TreeNet: Learning Sentence Representations with Unconstrained Tree Structure

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

inferredcites →https://doi.org/10.48550/arxiv.1506.05163openalex-snapshot

Deep Convolutional Networks on Graph-Structured Data

inferredcites →https://doi.org/10.48550/arxiv.1605.05396openalex-snapshot

Generative Adversarial Text to Image Synthesis

inferredcites →https://doi.org/10.48550/arxiv.1605.06240openalex-snapshot

FPNN: Field Probing Neural Networks for 3D Data

inferredcites →https://doi.org/10.48550/arxiv.1608.07242openalex-snapshot

Modeling and Propagating CNNs in a Tree Structure for Visual Tracking

inferredcites →https://doi.org/10.48550/arxiv.1610.07584openalex-snapshot

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

inferredcites →https://doi.org/10.48550/arxiv.1702.04405openalex-snapshot

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot

Advances In Deep Learning On Graphs (Gsp'18 Workshop)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Recruiting a skeleton crew—Methods for simulating and augmenting paleoanthropological data using Monte Carlo based algorithms

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Point cloud synthesis with stochastic differential equations

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PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

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Progressive Point Cloud Deconvolution Generation Network

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SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion

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A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction

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Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations

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Point Clouds Object Classification Using Part-Based Capsule Network

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Monocular 3D Object Reconstruction with GAN Inversion

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Multiview Regenerative Morphing with Dual Flows

inferred← citeshttps://doi.org/10.1007/978-3-031-19812-0_32openalex-snapshot

S2Net: Stochastic Sequential Pointcloud Forecasting

inferred← citeshttps://doi.org/10.1007/978-3-031-20050-2_2openalex-snapshot

Learning to Generate Realistic LiDAR Point Clouds

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Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects

inferred← citeshttps://doi.org/10.1007/978-3-031-20086-1_30openalex-snapshot

Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation

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Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

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A Diffusion-ReFinement Model for Sketch-to-Point Modeling

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Conditional GAN for Point Cloud Generation

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Investigation on the Encoder-Decoder Application for Mesh Generation

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MVDD: Multi-view Depth Diffusion Models

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NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

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RangeLDM: Fast Realistic LiDAR Point Cloud Generation

inferred← citeshttps://doi.org/10.1007/978-3-031-72855-6_25openalex-snapshot

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

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Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation

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Learning Neural Deformation Representation for 4D Dynamic Shape Generation

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DeepEMD: A Transformer-Based Fast Estimation of the Earth Mover’s Distance

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Neighborhood Feature Enhancement Flow Diffusion Model for Point Cloud Generation

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Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones

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3D Point Cloud Generation for Surface Representation

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TRADNet: Temporal and Regional-Aware Diffusion Model for Point Cloud Generation

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PCRT: Multi-branch Point Cloud Reconstruction from a Single Image with Transformers

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Progressive Point Cloud Generating by Shape Decomposing and Upsampling

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Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow

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Latent diffusion transformer for point cloud generation

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High-fidelity point cloud generation via multi-scale attentive feature fusion with graphSAGE and transformer

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SEMNet: a simple and efficient MLP-based network for 3D Face point clouds landmarks localization

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Variational autoencoders for 3D data processing

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MSG-Voxel-GAN: multi-scale gradient voxel GAN for 3D object generation

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Wavelet transform-assisted generative model for efficient 3d deep shape generation

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DPR-GAN: Dual-Stream Progressive Refinement for Adversarial 3D Point Cloud Generation

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Self-supervised single-view 3D point cloud reconstruction through GAN inversion

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SoftPool++: An Encoder–Decoder Network for Point Cloud Completion

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A Realism Metric for Generated LiDAR Point Clouds

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Learning Geometric Transformation for Point Cloud Completion

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Novel Class Discovery Meets Foundation Models for 3D Semantic Segmentation

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Edge-collaborative multi-channel speaker verification via spatial-temporal graph with ad-hoc microphone arrays

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LPMNet: Latent part modification and generation for 3D point clouds

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ArchiDiff: Interactive design of 3D architectural forms generated from a single image

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Inverse design of triply periodic minimal surfaces structure based on point cloud generation network

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GMP-Net: Graph based Missing Part Patching Network for Point Cloud Completion

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3D colored object reconstruction from a single view image through diffusion

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CGAN-driven intelligent generative design of vehicle exterior shape

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Cross-domain point cloud completion for multi-class indoor incomplete objects via class-conditional GAN inversion

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BIH: A novel satellite 3D point cloud generation method

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GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction

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Terrestrial laser scanning in forest ecology: Expanding the horizon

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PAD: Detail‐Preserving Point Cloud Reconstruction and Generation via Autodecoders

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PartConverter: A Part‐Oriented Transformation Framework for Point Clouds

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Probabilistic context integration‐based aircraft behaviour intention classification at airport ramps

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DeepTreeGAN: Fast Generation of High Dimensional Point Clouds

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A review of location encoding for GeoAI: methods and applications

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DALi-CGAN: domain adaptive LiDAR-based conditional generative adversarial network for earthquake damage assessment

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Surface Generative Modelling of Neurodevelopmental Trajectories

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Overview of LiDAR point cloud target detection methods based on deep learning

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A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds

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Fine-Grained VR Sketching: Dataset and Insights

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Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction

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ConTiCoM-3D: A Continuous-Time Consistency Model for 3D Point Cloud Generation

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Orthogonal Single-Target Tracking

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Oriented and Directional Chamfer Distance Losses for 3D Object Reconstruction From a Single Image

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Style-Based Tree GAN for Point Cloud Generator

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A Geometry Aware Diffusion Model for 3D Point Cloud Generation

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CSI2PC: 3D Point Cloud Reconstruction Using CSI

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Towards Disentangling Latent Space for 3D point clouds generation

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Cascaded Refinement Network for Point Cloud Completion

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Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

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StructEdit: Learning Structural Shape Variations

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Unsupervised Learning of Intrinsic Structural Representation Points

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DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates

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Unsupervised 3D Shape Completion through GAN Inversion

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Diffusion Probabilistic Models for 3D Point Cloud Generation

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Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

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Learning Progressive Point Embeddings for 3D Point Cloud Generation

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3D Shape Generation with Grid-based Implicit Functions

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Learning Local Displacements for Point Cloud Completion

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ShapeFormer: Transformer-based Shape Completion via Sparse Representation

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WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation

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3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies

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Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

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Fast Point Cloud Generation with Straight Flows

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ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations

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Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

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TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

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Learnable Skeleton-Aware 3D Point Cloud Sampling

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Diffusion-Based Signed Distance Fields for 3D Shape Generation

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PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

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InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion

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PointInfinity: Resolution-Invariant Point Diffusion Models

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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

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Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation

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Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing

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Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning

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SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation

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Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression

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Memorization in 3D Shape Generation: An Empirical Study

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On Adversarial Robustness of Point Cloud Semantic Segmentation

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A Text-Semantics-Driven Point Cloud Generation Method for Traffic Scenes

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GCN-Based Objects Understanding with 2D to 3D Point Cloud Reconstruction

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SSP-GAN:Spectral Normalization Sphere-Guided 3D Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/iccicc50026.2020.9450255openalex-snapshot

SAPCGAN: Self-Attention based Generative Adversarial Network for Point Clouds

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00577openalex-snapshot

3D Shape Generation and Completion through Point-Voxel Diffusion

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LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies

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Point-set Distances for Learning Representations of 3D Point Clouds

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Voxel-based Network for Shape Completion by Leveraging Edge Generation

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SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators

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GECCO: Geometrically-Conditioned Point Diffusion Models

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TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00852openalex-snapshot

Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00855openalex-snapshot

LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01300openalex-snapshot

Learning Versatile 3D Shape Generation with Improved Auto-regressive Models

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01308openalex-snapshot

SurfsUp: Learning Fluid Simulation for Novel Surfaces

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01325openalex-snapshot

3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01328openalex-snapshot

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.02412openalex-snapshot

ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios

inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00231openalex-snapshot

MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement

inferred← citeshttps://doi.org/10.1109/icdl55364.2023.10364496openalex-snapshot

GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897485openalex-snapshot

Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation

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/icme55011.2023.00350openalex-snapshot

MRRA-GAN: Multi-Resolution Relation-Aware GAN for Point Cloud Completion

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/icra48891.2023.10161469openalex-snapshot

Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks

inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127894openalex-snapshot

Fast LiDAR Data Generation with Rectified Flows

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610109openalex-snapshot

DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation

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/icra57147.2024.10611480openalex-snapshot

LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models

inferred← citeshttps://doi.org/10.1109/icvisp64524.2024.10959392openalex-snapshot

Point Cloud Completion of Space Targets Based on Generative Adversarial Mapping

inferred← citeshttps://doi.org/10.1109/icvr57957.2023.10169375openalex-snapshot

TGNet: Learning 3D Shape from Sparse and Incomplete Point Cloud

inferred← citeshttps://doi.org/10.1109/igarss47720.2021.9554523openalex-snapshot

3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191922openalex-snapshot

PST-Net: Point Cloud Completion Network Based on Local Geometric Feature Reuse and Neighboring Recovery with Taylor Approximation

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228786openalex-snapshot

MSIA-SDiT3D: 3D Multi-Scale Interpolation Attention in Lightweight Diffusion Transformers for 3D Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/iros45743.2020.9341265openalex-snapshot

Spectral-GANs for High-Resolution 3D Point-cloud Generation

inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981471openalex-snapshot

RPG: Learning Recursive Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/isceic53685.2021.00046openalex-snapshot

Point Cloud Upsampling by Generative Adversarial Network with Skip-attention

inferred← citeshttps://doi.org/10.1109/ism46123.2019.00060openalex-snapshot

FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning

inferred← citeshttps://doi.org/10.1109/jas.2024.124275openalex-snapshot

A LiDAR Point Clouds Dataset of Ships in a Maritime Environment

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3107532openalex-snapshot

Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis

inferred← citeshttps://doi.org/10.1109/jiot.2025.3625382openalex-snapshot

LiDAR Point Cloud Data Augmentation Under the Influence of Large-Scale Smoke Diffusion in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/jsen.2024.3420723openalex-snapshot

Enhancing UAV Classification With Synthetic Data: GMM LiDAR Simulator for Aerial Surveillance Applications

inferred← citeshttps://doi.org/10.1109/jsen.2024.3487903openalex-snapshot

Motor Diagnosis Based on 3-D Spherical Projected Point Cloud

inferred← citeshttps://doi.org/10.1109/jsen.2025.3567617openalex-snapshot

LiDAR Sensor Modeling for Autonomous Driving Using a Dual-Driven Method

inferred← citeshttps://doi.org/10.1109/lra.2021.3093869openalex-snapshot

Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection

inferred← citeshttps://doi.org/10.1109/lra.2021.3097081openalex-snapshot

Graph-Guided Deformation for Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/lra.2022.3149569openalex-snapshot

Hierarchical Point Cloud Encoding and Decoding With Lightweight Self-Attention Based Model

inferred← citeshttps://doi.org/10.1109/lra.2022.3214791openalex-snapshot

Lidar Upsampling With Sliced Wasserstein Distance

inferred← citeshttps://doi.org/10.1109/lra.2025.3630884openalex-snapshot

SceneComplete: Open-World 3D Scene Completion in Cluttered Real World Environments for Robot Manipulation

inferred← citeshttps://doi.org/10.1109/sera65747.2025.11154579openalex-snapshot

Generation of 3D Distributions Using Wasserstein Distance in Hybrid Quantum-Classical Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1109/siu53274.2021.9477782openalex-snapshot

3D Shape Completion Using Multilayer Spherical Depth Parameters

inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394537openalex-snapshot

Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue?

inferred← citeshttps://doi.org/10.1109/tai.2022.3194869openalex-snapshot

Graph Representation Learning Meets Computer Vision: A Survey

inferred← citeshttps://doi.org/10.1109/tcss.2024.3417388openalex-snapshot

Enlarge the Error Prediction Dataset in 3-D Printing: An Unsupervised Dental Crown Mesh Generator

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3135528openalex-snapshot

PCGAN: Prediction-Compensation Generative Adversarial Network for Meshes

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3170588openalex-snapshot

PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport

inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3181212openalex-snapshot

Topology-Aware Flow-Based Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3250970openalex-snapshot

Distinguishing and Matching-Aware Unsupervised Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3511342openalex-snapshot

GET3DGS: Generate 3D Gaussians Based on Points Deformation Fields

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3542089openalex-snapshot

Canonical Shape Reconstruction With SE(3) Equivariance Learning for Weakly-Supervised Object Pose Estimation

inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3701217openalex-snapshot

LCSM: A Local Chart-Based Statistical Model for Femoral Shape Analysis

inferred← citeshttps://doi.org/10.1109/tensymp63728.2025.11144963openalex-snapshot

High Quality Point Cloud Generation and Intuitive Text-Guided Editing Using Prior Latent Matrix

inferred← citeshttps://doi.org/10.1109/tetci.2025.3558447openalex-snapshot

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-Sampling From a Single Image

inferred← citeshttps://doi.org/10.1109/tgrs.2021.3135084openalex-snapshot

Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification

inferred← citeshttps://doi.org/10.1109/tim.2022.3227994openalex-snapshot

Multi-Dimensional Graph Interactional Network for Progressive Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tim.2024.3353839openalex-snapshot

Text-Free Controllable 3-D Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/tip.2021.3073318openalex-snapshot

HSGAN: Hierarchical Graph Learning for Point Cloud Generation

inferred← citeshttps://doi.org/10.1109/tits.2022.3157809openalex-snapshot

Sensor Fusion for Aircraft Detection at Airport Ramps Using Conditional Random Fields

inferred← citeshttps://doi.org/10.1109/tits.2023.3344806openalex-snapshot

Instance-Aware Monocular 3D Semantic Scene Completion

inferred← citeshttps://doi.org/10.1109/tkde.2023.3333529openalex-snapshot

Hierarchical Dynamic Graph Clustering Network

inferred← citeshttps://doi.org/10.1109/tmm.2022.3206664openalex-snapshot

Self-Supervised Point Cloud Representation Learning via Separating Mixed Shapes

inferred← citeshttps://doi.org/10.1109/tmm.2023.3318327openalex-snapshot

RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tmm.2025.3535325openalex-snapshot

Learning Shape-Color Diffusion Priors for Text-Guided 3D Object Generation

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3211929openalex-snapshot

Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3266819openalex-snapshot

3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3439706openalex-snapshot

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3636409openalex-snapshot

Efficient and Scalable Point Cloud Generation With Sparse Point-Voxel Diffusion Models

inferred← citeshttps://doi.org/10.1109/tpami.2020.3015948openalex-snapshot

SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications

inferred← citeshttps://doi.org/10.1109/tpami.2021.3108410openalex-snapshot

Cascaded Refinement Network for Point Cloud Completion with Self-supervision

inferred← citeshttps://doi.org/10.1109/tpami.2022.3216926openalex-snapshot

Dynamic Convolution for 3D Point Cloud Instance Segmentation

inferred← citeshttps://doi.org/10.1109/tpami.2022.3217161openalex-snapshot

Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

inferred← citeshttps://doi.org/10.1109/tpami.2024.3398998openalex-snapshot

Evaluation Metrics for Intelligent Generation of Graphical Game Assets: A Systematic Survey-Based Framework

inferred← citeshttps://doi.org/10.1109/tpami.2024.3445463openalex-snapshot

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

inferred← citeshttps://doi.org/10.1109/tpami.2024.3463753openalex-snapshot

T2TD: Text-3D Generation Model Based on Prior Knowledge Guidance

inferred← citeshttps://doi.org/10.1109/tvcg.2021.3069195openalex-snapshot

SG-GAN: Adversarial Self-Attention GCN for Point Cloud Topological Parts Generation

inferred← citeshttps://doi.org/10.1109/tvcg.2023.3236061openalex-snapshot

CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tvcg.2023.3287923openalex-snapshot

Characteristic-Preserving Latent Space for Unpaired Cross-Domain Translation of 3D Point Clouds

inferred← citeshttps://doi.org/10.1109/tvcg.2023.3344935openalex-snapshot

Point Cloud Completion: A Survey

inferred← citeshttps://doi.org/10.1109/tvcg.2024.3383434openalex-snapshot

CloudMix: Dual Mixup Consistency for Unpaired Point Cloud Completion

inferred← citeshttps://doi.org/10.1109/tvcg.2025.3611489openalex-snapshot

LucidDreamer: Domain-Free Generation of 3D Gaussian Splatting Scenes

inferred← citeshttps://doi.org/10.1109/tvcg.2025.3644849openalex-snapshot

HoloDreamer: Holistic 3D Panoramic Scene Generation From Text Descriptions

inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00072openalex-snapshot

RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly

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