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Single-View 3D reconstruction: A Survey of deep learning methods

https://doi.org/10.1016/j.cag.2020.12.004

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What this work says

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

inferredcites →https://doi.org/10.1002/vis.291openalex-snapshot

Single‐view modelling of free‐form scenes

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/10.1007/978-3-030-01252-6_40openalex-snapshot

Learning Shape Priors for Single-View 3D Completion And Reconstruction

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_23openalex-snapshot

Learning Category-Specific Mesh Reconstruction from Image Collections

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_6openalex-snapshot

Learning Single-View 3D Reconstruction with Limited Pose Supervision

inferredcites →https://doi.org/10.1007/978-3-030-20887-5_23openalex-snapshot

Image2Mesh: A Learning Framework for Single Image 3D Reconstruction

inferredcites →https://doi.org/10.1007/978-3-030-20890-5_21openalex-snapshot

Learning Free-Form Deformations for 3D Object Reconstruction

inferredcites →https://doi.org/10.1007/978-3-030-58568-6_40openalex-snapshot

Self-supervised Single-View 3D Reconstruction via Semantic Consistency

inferredcites →https://doi.org/10.1007/978-3-030-58607-2_39openalex-snapshot

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling

inferredcites →https://doi.org/10.1007/978-3-319-24553-9openalex-snapshot

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46466-4_14openalex-snapshot

Deep Learning 3D Shape Surfaces Using Geometry Images

inferredcites →https://doi.org/10.1007/978-3-319-46466-4_29openalex-snapshot

Learning a Predictable and Generative Vector Representation for Objects

inferredcites →https://doi.org/10.1007/978-3-319-46478-7_20openalex-snapshot

Multi-view 3D Models from Single Images with a Convolutional Network

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_10openalex-snapshot

ObjectNet3D: A Large Scale Database for 3D Object Recognition

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_38openalex-snapshot

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

inferredcites →https://doi.org/10.1007/s11633-017-1053-3openalex-snapshot

A survey on deep learning-based fine-grained object classification and semantic segmentation

inferredcites →https://doi.org/10.1016/0146-664x(82)90104-6openalex-snapshot

Geometric modeling using octree encoding

inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot

Advances in neural information processing systems 7

inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot

Multiple View Geometry in Computer Vision

inferredcites →https://doi.org/10.1109/3dv.2017.00018openalex-snapshot

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks

inferredcites →https://doi.org/10.1109/3dv.2017.00020openalex-snapshot

Compact Model Representation for 3D Reconstruction

inferredcites →https://doi.org/10.1109/3dv.2017.00024openalex-snapshot

Interactive 3D Modeling with a Generative Adversarial Network

inferredcites →https://doi.org/10.1109/3dv.2017.00038openalex-snapshot

Weakly Supervised 3D Reconstruction with Adversarial Constraint

inferredcites →https://doi.org/10.1109/3dv.2017.00054openalex-snapshot

Hierarchical Surface Prediction for 3D Object Reconstruction

inferredcites →https://doi.org/10.1109/3dv.2018.00026openalex-snapshot

Structure-Aware Shape Synthesis

inferredcites →https://doi.org/10.1109/3dv.2018.00068openalex-snapshot

Learning a Hierarchical Latent-Variable Model of 3D Shapes

inferredcites →https://doi.org/10.1109/3dv.2018.00087openalex-snapshot

Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction

inferredcites →https://doi.org/10.1109/3dv45886.2018openalex-snapshot

2018 International Conference on 3D Vision (3DV)

inferredcites →https://doi.org/10.1109/3dv53792.2021.00019openalex-snapshot

3D Reconstruction of Novel Object Shapes from Single Images

inferredcites →https://doi.org/10.1109/access.2019.2923842openalex-snapshot

SSL-Net: Point-Cloud Generation Network With Self-Supervised Learning

inferredcites →https://doi.org/10.1109/access.2019.2943235openalex-snapshot

Attention-Based Dense Point Cloud Reconstruction From a Single Image

inferredcites →https://doi.org/10.1109/cvpr.2000.854941openalex-snapshot

Recovering non-rigid 3D shape from image streams

inferredcites →https://doi.org/10.1109/cvpr.2006.19openalex-snapshot

A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms

inferredcites →https://doi.org/10.1109/cvpr.2006.281openalex-snapshot

Single View Reconstruction of Curved Surfaces

inferredcites →https://doi.org/10.1109/cvpr.2007.383165openalex-snapshot

Optimal Step Nonrigid ICP Algorithms for Surface Registration

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

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.2015.7298807openalex-snapshot

Category-specific object reconstruction from a single image

inferredcites →https://doi.org/10.1109/cvpr.2016.445openalex-snapshot

Structure-from-Motion Revisited

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.160openalex-snapshot

Learning Shape Abstractions by Assembling Volumetric Primitives

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.2017.269openalex-snapshot

Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.30openalex-snapshot

Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency

inferredcites →https://doi.org/10.1109/cvpr.2017.594openalex-snapshot

Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image

inferredcites →https://doi.org/10.1109/cvpr.2017.597openalex-snapshot

3D Bounding Box Estimation Using Deep Learning and Geometry

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/cvpr.2017.701openalex-snapshot

OctNet: Learning Deep 3D Representations at High Resolutions

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.2018.00308openalex-snapshot

Deep Marching Cubes: Learning Explicit Surface Representations

inferredcites →https://doi.org/10.1109/cvpr.2018.00319openalex-snapshot

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2018.00323openalex-snapshot

Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction

inferredcites →https://doi.org/10.1109/cvpr.2018.00411openalex-snapshot

Neural 3D Mesh Renderer

inferredcites →https://doi.org/10.1109/cvpr.2018.00475openalex-snapshot

Im2Struct: Recovering 3D Shape Structure from a Single RGB Image

inferredcites →https://doi.org/10.1109/cvpr.2019.00025openalex-snapshot

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

inferredcites →https://doi.org/10.1109/cvpr.2019.00352openalex-snapshot

What Do Single-View 3D Reconstruction Networks Learn?

inferredcites →https://doi.org/10.1109/cvpr.2019.00459openalex-snapshot

Occupancy Networks: Learning 3D Reconstruction in Function Space

inferredcites →https://doi.org/10.1109/cvpr.2019.00467openalex-snapshot

A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images

inferredcites →https://doi.org/10.1109/cvpr.2019.00609openalex-snapshot

Learning Implicit Fields for Generative Shape Modeling

inferredcites →https://doi.org/10.1109/cvpr.2019.00983openalex-snapshot

ABC: A Big CAD Model Dataset for Geometric Deep Learning

inferredcites →https://doi.org/10.1109/cvpr.2019.01001openalex-snapshot

Learning View Priors for Single-View 3D Reconstruction

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00011openalex-snapshot

CvxNet: Learnable Convex Decomposition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00012openalex-snapshot

BSP-Net: Generating Compact Meshes via Binary Space Partitioning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00491openalex-snapshot

Local Deep Implicit Functions for 3D Shape

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00143openalex-snapshot

Topology-Aware Single-Image 3D Shape Reconstruction

inferredcites →https://doi.org/10.1109/iccv.2013.372openalex-snapshot

Parsing IKEA Objects: Fine Pose Estimation

inferredcites →https://doi.org/10.1109/iccv.2017.103openalex-snapshot

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/iccv.2017.230openalex-snapshot

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot

Least Squares Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2019.00484openalex-snapshot

Implicit Surface Representations As Layers in Neural Networks

inferredcites →https://doi.org/10.1109/iccv.2019.00725openalex-snapshot

Learning Shape Templates With Structured Implicit Functions

inferredcites →https://doi.org/10.1109/iccv.2019.00780openalex-snapshot

Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning

inferredcites →https://doi.org/10.1109/iccv.2019.01006openalex-snapshot

Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks

inferredcites →https://doi.org/10.1109/iccvw.2017.114openalex-snapshot

Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image

inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot

VoxNet: A 3D Convolutional Neural Network for real-time object recognition

inferredcites →https://doi.org/10.1109/iros40897.2019openalex-snapshot

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

inferredcites →https://doi.org/10.1109/iros40897.2019.8967916openalex-snapshot

Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics

inferredcites →https://doi.org/10.1109/lsp.2015.2480802openalex-snapshot

DeepPano: Deep Panoramic Representation for 3-D Shape Recognition

inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot

Geometric Deep Learning: Going beyond Euclidean data

inferredcites →https://doi.org/10.1109/tnnls.2018.2876865openalex-snapshot

Object Detection With Deep Learning: A Review

inferredcites →https://doi.org/10.1109/tpami.2016.2574713openalex-snapshot

Learning Category-Specific Deformable 3D Models for Object Reconstruction

inferredcites →https://doi.org/10.1109/wacv.2014.6836101openalex-snapshot

Beyond PASCAL: A benchmark for 3D object detection in the wild

inferredcites →https://doi.org/10.1109/wacv.2018.00099openalex-snapshot

DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image

inferredcites →https://doi.org/10.1109/wacv.2019.00117openalex-snapshot

Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network

inferredcites →https://doi.org/10.1109/wacv37755.2017openalex-snapshot

2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

inferredcites →https://doi.org/10.1109/wacv43230.2019openalex-snapshot

2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

inferredcites →https://doi.org/10.1109/wacv45572.2020.9093430openalex-snapshot

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention

inferredcites →https://doi.org/10.1109/wacv48630.2021openalex-snapshot

2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

inferredcites →https://doi.org/10.1111/1467-8659.00236openalex-snapshot

Metro: Measuring Error on Simplified Surfaces

inferredcites →https://doi.org/10.1111/1467-8659.00669openalex-snapshot

On Visual Similarity Based 3D Model Retrieval

inferredcites →https://doi.org/10.1111/cgf.13240openalex-snapshot

The shape variational autoencoder: A deep generative model of part‐segmented 3D objects

inferredcites →https://doi.org/10.1134/s1054661816010065openalex-snapshot

A survey of deep learning methods and software tools for image classification and object detection

inferredcites →https://doi.org/10.1145/3042064openalex-snapshot

Deep Learning Advances in Computer Vision with 3D Data

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3072959.3073608openalex-snapshot

O-CNN

inferredcites →https://doi.org/10.1145/3072959.3073637openalex-snapshot

GRASS

inferredcites →https://doi.org/10.1145/3203197openalex-snapshot

3D Sketching using Multi-View Deep Volumetric Prediction

inferredcites →https://doi.org/10.1145/3328756openalex-snapshot

Proceedings of the 32nd International Conference on Computer Animation and Social Agents

inferredcites →https://doi.org/10.1145/3328756.3328766openalex-snapshot

Single-image Mesh Reconstruction and Pose Estimation via Generative Normal Map

inferredcites →https://doi.org/10.1145/3415263.3419160openalex-snapshot

Accelerating 3D deep learning with PyTorch3D

inferredcites →https://doi.org/10.1145/37401.37422openalex-snapshot

Marching cubes: A high resolution 3D surface construction algorithm

inferredcites →https://doi.org/10.1145/37402.37422openalex-snapshot

Marching cubes: A high resolution 3D surface construction algorithm

inferredcites →https://doi.org/10.1609/aaai.v32i1.12223openalex-snapshot

Learning Adversarial 3D Model Generation With 2D Image Enhancer

inferredcites →https://doi.org/10.1609/aaai.v32i1.12278openalex-snapshot

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

inferredcites →https://doi.org/10.1609/aaai.v34i07.6798openalex-snapshot

Learning Part Generation and Assembly for Structure-Aware Shape Synthesis

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

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot

Auto-Encoding Variational Bayes

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot

Conditional Generative Adversarial Nets

inferredcites →https://doi.org/10.48550/arxiv.1604.03901openalex-snapshot

Single-Image Depth Perception in the Wild

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.1606.09375openalex-snapshot

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

inferredcites →https://doi.org/10.48550/arxiv.1607.05695openalex-snapshot

FusionNet: 3D Object Classification Using Multiple Data Representations

inferredcites →https://doi.org/10.48550/arxiv.1608.04236openalex-snapshot

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot

Semi-Supervised Classification with Graph Convolutional Networks

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.1612.00593openalex-snapshot

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

inferredcites →https://doi.org/10.48550/arxiv.1703.04079openalex-snapshot

SurfNet: Generating 3D shape surfaces using deep residual networks

inferredcites →https://doi.org/10.48550/arxiv.1704.02901openalex-snapshot

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

inferredcites →https://doi.org/10.48550/arxiv.1707.02392openalex-snapshot

Learning Representations and Generative Models for 3D Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.1711.03129openalex-snapshot

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

inferredcites →https://doi.org/10.48550/arxiv.1804.04610openalex-snapshot

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

inferredcites →https://doi.org/10.48550/arxiv.1804.06375openalex-snapshot

Im2Avatar: Colorful 3D Reconstruction from a Single Image

inferredcites →https://doi.org/10.48550/arxiv.1804.10975openalex-snapshot

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers

inferredcites →https://doi.org/10.48550/arxiv.1807.07796openalex-snapshot

3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image

inferredcites →https://doi.org/10.48550/arxiv.1807.09259openalex-snapshot

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision

inferredcites →https://doi.org/10.48550/arxiv.1812.11166openalex-snapshot

Learning to Reconstruct Shapes from Unseen Classes

inferredcites →https://doi.org/10.48550/arxiv.1901.11461openalex-snapshot

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

inferredcites →https://doi.org/10.48550/arxiv.1903.11149openalex-snapshot

Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer

inferredcites →https://doi.org/10.48550/arxiv.1911.05063openalex-snapshot

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

inferredcites →https://doi.org/10.48550/arxiv.2003.08934openalex-snapshot

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

inferredcites →https://doi.org/10.48550/arxiv.2006.10739openalex-snapshot

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

inferredcites →https://doi.org/10.5244/c.31.64openalex-snapshot

Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

inferredcites →https://doi.org/10.5244/c.31.97openalex-snapshot

Orientation-boosted Voxel Nets for 3D Object Recognition

inferredcites →https://doi.org/10.5244/c.34.82openalex-snapshot

3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture

inferredcites →https://doi.org/10.5281/zenodo.10089705openalex-snapshot

ShapeNet: An Information-Rich 3D Model Repository

inferredcites →https://doi.org/10.7210/jrsj.33.100openalex-snapshot

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2014)

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4728672openalex-extracted

Gaussian Point Cloud Autoencoder for Partial Point Cloud Reconstruction

inferred← citeshttps://doi.org/10.1002/appl.202300016openalex-snapshot

ONIX: An X‐ray deep‐learning tool for 3D reconstructions from sparse views

inferred← citeshttps://doi.org/10.1007/978-3-030-76346-6_43openalex-snapshot

Single-View 3D Mesh Reconstruction and Generation

inferred← citeshttps://doi.org/10.1007/978-3-031-19769-7_9openalex-snapshot

Structural Causal 3D Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-32154-2_2openalex-snapshot

Feature Engineering in Additive Manufacturing

inferred← citeshttps://doi.org/10.1007/978-981-95-0006-2_3openalex-snapshot

Research on Digital 3D Reconstruction of Cultural Relics Using Depth Diffusion Gaussian Splatting

inferred← citeshttps://doi.org/10.1007/978-981-96-6579-2_9openalex-snapshot

T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts

inferred← citeshttps://doi.org/10.1007/978-981-96-9908-7_41openalex-snapshot

State-of-the-Art Techniques in 3D Industrial Reconstruction: A Detailed Survey

inferred← citeshttps://doi.org/10.1007/s10055-024-01044-6openalex-snapshot

The use of CNNs in VR/AR/MR/XR: a systematic literature review

inferred← citeshttps://doi.org/10.1007/s10462-023-10399-2openalex-snapshot

Deep learning-based 3D reconstruction: a survey

inferred← citeshttps://doi.org/10.1007/s11760-024-03334-7openalex-snapshot

X-CTCANet: 3D spinal CT reconstruction directly from 2D X-ray images

inferred← citeshttps://doi.org/10.1007/s12206-024-0922-2openalex-snapshot

Improved weak texture multi-view 3D reconstruction algorithm based on deformable convolutions networks

inferred← citeshttps://doi.org/10.1007/s42835-024-01812-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105498openalex-snapshot

Vitruvio: Conditional variational autoencoder to generate building meshes via single perspective sketches

inferred← citeshttps://doi.org/10.1016/j.cag.2021.02.001openalex-snapshot

A Note from the Editor in Chief

inferred← citeshttps://doi.org/10.1016/j.cag.2021.04.035openalex-snapshot

DIMNet: Dense implicit function network for 3D human body reconstruction

inferred← citeshttps://doi.org/10.1016/j.cag.2021.07.014openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106615openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106366openalex-snapshot

Deep learning framework-based 3D shape reconstruction of tanks from a single RGB image

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108858openalex-snapshot

Ship shape reconstruction for three-dimensional situational awareness of smart ships based on neural radiation field

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124957openalex-snapshot

3D voxel reconstruction from single-view image based on cross-domain feature fusion

inferred← citeshttps://doi.org/10.1016/j.imavis.2022.104377openalex-snapshot

Enhancing single-view 3D mesh reconstruction with the aid of implicit surface learning

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103351openalex-snapshot

Contrastive learning-based place descriptor representation for cross-modality place recognition

inferred← citeshttps://doi.org/10.1016/j.jag.2024.104135openalex-snapshot

PesRec: A parametric estimation method for indoor semantic scene reconstruction from a single image

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108395openalex-snapshot

Part-Wise AtlasNet for 3D point cloud reconstruction from a single image

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127553openalex-snapshot

Multi-view 3D reconstruction based on deep learning: A survey and comparison of methods

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135138openalex-snapshot

Gaussian point cloud autoencoder for partial point cloud reconstruction

inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109209openalex-snapshot

Visual question answering from another perspective: CLEVR mental rotation tests

inferred← citeshttps://doi.org/10.1016/j.rineng.2025.105359openalex-snapshot

A systematic review of monocular depth estimation for autonomous driving: Methods and dataset benchmarking

inferred← citeshttps://doi.org/10.1049/cvi2.12136openalex-snapshot

3D‐FEGNet: A feature enhanced point cloud generation network from a single image

inferred← citeshttps://doi.org/10.1080/10095020.2025.2597491openalex-snapshot

An evaluation of DUSt3R/MASt3R/VGGT 3D reconstruction on photogrammetric aerial blocks

inferred← citeshttps://doi.org/10.1080/15230406.2023.2224063openalex-snapshot

Inferring implicit 3D representations from human figures on pictorial maps

inferred← citeshttps://doi.org/10.1109/access.2022.3204650openalex-snapshot

Research on 3D Reconstruction of Furniture Based on Differentiable Renderer

inferred← citeshttps://doi.org/10.1109/access.2023.3271890openalex-snapshot

Coeus: A Universal Search Engine for Additive Manufacturing

inferred← citeshttps://doi.org/10.1109/access.2023.3283495openalex-snapshot

From a Visual Scene to a Virtual Representation: A Cross-Domain Review

inferred← citeshttps://doi.org/10.1109/access.2023.3342052openalex-snapshot

Fast Surface Reconstruction Technique Based on Anderson Accelerated I-PIA Method

inferred← citeshttps://doi.org/10.1109/access.2024.3361659openalex-snapshot

DualShape: Sketch-Based 3D Shape Design With Part Generation and Retrieval

inferred← citeshttps://doi.org/10.1109/access.2024.3396148openalex-snapshot

Research on Super-Resolution Enhancement Technology Using Improved Transformer Network and 3D Reconstruction of Wheat Grains

inferred← citeshttps://doi.org/10.1109/access.2024.3404635openalex-snapshot

3D Surface Reconstruction of Car Body Based on Any Single View

inferred← citeshttps://doi.org/10.1109/access.2025.3582863openalex-snapshot

Comprehensive Review of Digital Twin Technology for Deformable Objects: Integration of Modeling, Rendering, and Simulation

inferred← citeshttps://doi.org/10.1109/access.2025.3640204openalex-snapshot

Transformer-Based Single Image 3D Reconstruction for Cultural Artifacts: A Case Study on Balinese Masks

inferred← citeshttps://doi.org/10.1109/aiac68175.2025.11332448openalex-snapshot

Design and Simulation Verification of a Reinforcement Learning-Based 3D Reconstruction Method for Robotic Grasping

inferred← citeshttps://doi.org/10.1109/cai59869.2024.00010openalex-snapshot

3D Reconstruction and Estimation from Single-view 2D Image by Deep Learning – A Survey

inferred← citeshttps://doi.org/10.1109/csicc55295.2022.9780484openalex-snapshot

A Deep Learning Embedded System for 3D Human Face Shape Reconstruction From a Single Image

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00396openalex-snapshot

MonoScene: Monocular 3D Semantic Scene Completion

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00449openalex-snapshot

SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00736openalex-snapshot

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00942openalex-snapshot

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00660openalex-snapshot

EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild

inferred← citeshttps://doi.org/10.1109/gecost52368.2021.9538629openalex-snapshot

Generative Skeletal Joint-Based Autoencoder for 3D Human Point Clouds Reconstruction

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01649openalex-snapshot

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation

inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897753openalex-snapshot

Multi-view 3D Reconstruction from Video with Transformer

inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00080openalex-snapshot

Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision

inferred← citeshttps://doi.org/10.1109/icpr56361.2022.9956083openalex-snapshot

A circular shifting binary descriptor for efficient rotation invariant image matching

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610009openalex-snapshot

On camera model conversions

inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610602openalex-snapshot

SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net

inferred← citeshttps://doi.org/10.1109/ictai59109.2023.00067openalex-snapshot

Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks

inferred← citeshttps://doi.org/10.1109/tits.2024.3380812openalex-snapshot

Single-View 3D Object Perception Based on Vessel Generative Adversarial Network for Autonomous Ships

inferred← citeshttps://doi.org/10.1109/tmi.2025.3585088openalex-snapshot

SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations

inferred← citeshttps://doi.org/10.1109/tpami.2024.3429209openalex-snapshot

Surface Reconstruction From Point Clouds: A Survey and a Benchmark

inferred← citeshttps://doi.org/10.1109/tro.2025.3544113openalex-snapshot

Robotic Haptic Exploration of Object Shape With Autonomous Symmetry Detection

inferred← citeshttps://doi.org/10.1109/tvcg.2025.3540669openalex-snapshot

Survey on 3D Reconstruction Techniques: Large-Scale Urban City Reconstruction and Requirements

inferred← citeshttps://doi.org/10.1109/tvcg.2025.3591770openalex-snapshot

A Comprehensive Survey on 3D Single-View Object Reconstruction

inferred← citeshttps://doi.org/10.1109/wisee58383.2023.10289421openalex-snapshot

Leveraging Transformer and CNN for Monocular 3D Point Cloud Reconstruction

inferred← citeshttps://doi.org/10.1111/cgf.14792openalex-snapshot

Feature Representation for High‐resolution Clothed Human Reconstruction

inferred← citeshttps://doi.org/10.1111/cgf.15222openalex-snapshot

MISNeR: Medical Implicit Shape Neural Representation for Image Volume Visualisation

inferred← citeshttps://doi.org/10.1111/cgf.70302openalex-snapshot

Deep Sketch‐Based 3D Modeling: A Survey

inferred← citeshttps://doi.org/10.1142/s0218126625502627openalex-snapshot

3D Vision Reconstruction Method Based on Adaptive Convolutional Networks in Virtual Reality

inferred← citeshttps://doi.org/10.1145/3719015openalex-snapshot

A Methodology for Enhancing the Accessibility of Scientific Museum’s Collections (SCAMP)

inferred← citeshttps://doi.org/10.1145/3765741openalex-snapshot

Towards the Virtual Reconstruction of Physically Lost Altarpieces through Differentiable Rendering

inferred← citeshttps://doi.org/10.1155/2021/5839391openalex-snapshot

Construction of the 3D Reconstruction System of Building Construction Scene Based on Deep Learning

inferred← citeshttps://doi.org/10.1155/2022/4273937openalex-snapshot

Analysis of the Application of Deep Learning in Model Reconstruction of Ancient Buildings

inferred← citeshttps://doi.org/10.1155/2022/5413473openalex-snapshot

[Retracted] Construction of 3D Reconstruction System for Building Construction Scenes Based on Deep Learning and IoT

inferred← citeshttps://doi.org/10.1155/2022/6404493openalex-snapshot

The Effect of 3D Image Virtual Reconstruction Based on Visual Communication

inferred← citeshttps://doi.org/10.1155/2023/6826981openalex-snapshot

3D Reconstruction and Measurement Analysis of a Dense Point Cloud Fused with a Depth Image

inferred← citeshttps://doi.org/10.1186/s42492-024-00158-7openalex-snapshot

Three-dimensional reconstruction of industrial parts from a single image

inferred← citeshttps://doi.org/10.1371/journal.pone.0314756openalex-snapshot

Fast surface reconstruction algorithm with adaptive step size

inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v10i12p101openalex-snapshot

Development of an Algorithm for Volumetric Reconstruction and Estimation of the Center of Mass of Solid Cohesive in Environments with Suspended Particles

inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v10i4p117openalex-snapshot

Development of an Algorithm that Allows Improving Disparity Maps in Environments Contaminated with Suspended Particles

inferred← citeshttps://doi.org/10.21608/ijci.2021.207826openalex-snapshot

Variational 3D Mesh Generation of Man-Made Objects

inferred← citeshttps://doi.org/10.3389/fenvs.2025.1556042openalex-snapshot

3D reconstruction and landscape restoration of garden landscapes: an innovative approach combining deep features and graph structures

inferred← citeshttps://doi.org/10.3389/frvir.2021.786558openalex-snapshot

Towards Open-Source Web-Based 3D Reconstruction for Non-Professionals

inferred← citeshttps://doi.org/10.3390/app13116407openalex-snapshot

Scene Reconstruction Algorithm for Unstructured Weak-Texture Regions Based on Stereo Vision

inferred← citeshttps://doi.org/10.3390/e26030235openalex-snapshot

Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper

inferred← citeshttps://doi.org/10.3390/electronics14061119openalex-snapshot

DepthCloud2Point: Depth Maps and Initial Point for 3D Point Cloud Reconstruction from a Single Image

inferred← citeshttps://doi.org/10.3390/heritage4030123openalex-snapshot

Three Points of View for the Drawing Adoration of the Magi by Leonardo da Vinci

inferred← citeshttps://doi.org/10.3390/math10162892openalex-snapshot

An Improved Matting-SfM Algorithm for 3D Reconstruction of Self-Rotating Objects

inferred← citeshttps://doi.org/10.3390/s22239391openalex-snapshot

Plane Fitting in 3D Reconstruction to Preserve Smooth Homogeneous Surfaces

inferred← citeshttps://doi.org/10.33965/ijcsis_2021160202openalex-snapshot

3D SCENE RECONSTRUCTION SYSTEM BASED ON A MOBILE DEVICE

inferred← citeshttps://doi.org/10.33965/mccsis2021_202107l005openalex-snapshot

A SINGLE RGB IMAGE BASED 3D OBJECT RECONSTRUCTION SYSTEM

inferred← citeshttps://doi.org/10.37394/23202.2025.24.11openalex-snapshot

Investigation of Especially Grave Crimes using Laser Scanning Technology to Reproduce the Dynamics of Events

inferred← citeshttps://doi.org/10.9728/dcs.2025.26.6.1495openalex-snapshot

Machine Learning-Based 3D Mesh Reconstruction for Digital Twin: A Comparative Analysis by Input Data Type

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