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A Review of 3D Human Pose Estimation from 2D Images

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01231-1_29openalex-snapshot
Simple Baselines for Human Pose Estimation and Tracking
inferredcites →https://doi.org/10.1007/978-3-030-01231-1_33openalex-snapshot
Integral Human Pose Regression
inferredcites →https://doi.org/10.1007/978-3-030-11018-5_4openalex-snapshot
A Kinematic Chain Space for Monocular Motion Capture
inferredcites →https://doi.org/10.1007/978-3-030-11018-5_7openalex-snapshot
Can 3D Pose Be Learned from 2D Projections Alone?
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_15openalex-snapshot
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_17openalex-snapshot
Deep Kinematic Pose Regression
inferredcites →https://doi.org/10.1007/s11263-009-0273-6openalex-snapshot
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
inferredcites →https://doi.org/10.1007/s11263-013-0684-2openalex-snapshot
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization
inferredcites →https://doi.org/10.1016/0734-189x(85)90094-5openalex-snapshot
Determination of 3D human body postures from a single view
inferredcites →https://doi.org/10.1016/0734-189x(85)90137-9openalex-snapshot
Determination of 3D human body postures from a single view
inferredcites →https://doi.org/10.1016/b978-012119792-6/50093-0openalex-snapshot
2D and 3D Motion Tracking in Digital Video
inferredcites →https://doi.org/10.1016/j.cviu.2016.09.002openalex-snapshot
3D Human pose estimation: A review of the literature and analysis of covariates
inferredcites →https://doi.org/10.1016/j.cviu.2018.10.006openalex-snapshot
Compositional Human Pose Regression
inferredcites →https://doi.org/10.1016/j.cviu.2019.03.004openalex-snapshot
Deep pose consensus networks
inferredcites →https://doi.org/10.1016/j.cviu.2019.102897openalex-snapshot
Monocular human pose estimation: A survey of deep learning-based methods
inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot
Multiple View Geometry in Computer Vision
inferredcites →https://doi.org/10.1109/3dv.2017.00064openalex-snapshot
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision
inferredcites →https://doi.org/10.1109/3dv.2018.00024openalex-snapshot
Single-Shot Multi-person 3D Pose Estimation from Monocular RGB
inferredcites →https://doi.org/10.1109/cvpr.2000.855885openalex-snapshot
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
inferredcites →https://doi.org/10.1109/cvpr.2012.6247905openalex-snapshot
A simple prior-free method for non-rigid structure-from-motion factorization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298751openalex-snapshot
Pose-conditioned joint angle limits for 3D human pose reconstruction
inferredcites →https://doi.org/10.1109/cvpr.2016.511openalex-snapshot
Convolutional Pose Machines
inferredcites →https://doi.org/10.1109/cvpr.2016.537openalex-snapshot
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
inferredcites →https://doi.org/10.1109/cvpr.2017.134openalex-snapshot
LCR-Net: Localization-Classification-Regression for Human Pose
inferredcites →https://doi.org/10.1109/cvpr.2017.138openalex-snapshot
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
inferredcites →https://doi.org/10.1109/cvpr.2017.139openalex-snapshot
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
inferredcites →https://doi.org/10.1109/cvpr.2017.492openalex-snapshot
Learning from Synthetic Humans
inferredcites →https://doi.org/10.1109/cvpr.2017.500openalex-snapshot
Unite the People: Closing the Loop Between 3D and 2D Human Representations
inferredcites →https://doi.org/10.1109/cvpr.2017.591openalex-snapshot
Dynamic FAUST: Registering Human Bodies in Motion
inferredcites →https://doi.org/10.1109/cvpr.2017.603openalex-snapshot
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
inferredcites →https://doi.org/10.1109/cvpr.2017.610openalex-snapshot
3D Human Pose Estimation = 2D Pose Estimation + Matching
inferredcites →https://doi.org/10.1109/cvpr.2018.00762openalex-snapshot
DensePose: Dense Human Pose Estimation in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2018.00880openalex-snapshot
Learning Monocular 3D Human Pose Estimation from Multi-view Images
inferredcites →https://doi.org/10.1109/cvpr.2019.00117openalex-snapshot
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
inferredcites →https://doi.org/10.1109/cvpr.2019.00351openalex-snapshot
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2019.00794openalex-snapshot
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
inferredcites →https://doi.org/10.1109/cvpr.2019.00797openalex-snapshot
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00798openalex-snapshot
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views
inferredcites →https://doi.org/10.1109/cvpr.2019.01012openalex-snapshot
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
inferredcites →https://doi.org/10.1109/cvpr.2019.01115openalex-snapshot
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00334openalex-snapshot
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00694openalex-snapshot
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00723openalex-snapshot
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
inferredcites →https://doi.org/10.1109/cvprw.2019.00304openalex-snapshot
Multi-Person 3D Pose Estimation and Tracking in Sports
inferredcites →https://doi.org/10.1109/iccv.2009.5459415openalex-snapshot
Modeling 3D human poses from uncalibrated monocular images
inferredcites →https://doi.org/10.1109/iccv.2015.326openalex-snapshot
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2017.284openalex-snapshot
Compositional Human Pose Regression
inferredcites →https://doi.org/10.1109/iccv.2017.288openalex-snapshot
A Simple Yet Effective Baseline for 3d Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2019.00081openalex-snapshot
Occlusion-Aware Networks for 3D Human Pose Estimation in Video
inferredcites →https://doi.org/10.1109/iccv.2019.00233openalex-snapshot
3DPeople: Modeling the Geometry of Dressed Humans
inferredcites →https://doi.org/10.1109/iccv.2019.00444openalex-snapshot
Cross View Fusion for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2019.00781openalex-snapshot
Learnable Triangulation of Human Pose
inferredcites →https://doi.org/10.1109/iciip.2011.6108913openalex-snapshot
Human pose estimation in surveillance videos using temporal continuity on static pose
inferredcites →https://doi.org/10.1109/icmew.2017.8026282openalex-snapshot
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN
inferredcites →https://doi.org/10.1109/icmew.2017.8026283openalex-snapshot
Skeleton boxes: Solving skeleton based action detection with a single deep convolutional neural network
inferredcites →https://doi.org/10.1109/tpami.2015.2509986openalex-snapshot
3D Pictorial Structures Revisited: Multiple Human Pose Estimation
inferredcites →https://doi.org/10.1109/tpami.2017.2782743openalex-snapshot
Panoptic Studio: A Massively Multiview System for Social Interaction Capture
inferredcites →https://doi.org/10.1109/tpami.2019.2929257openalex-snapshot
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1145/3596711.3596800openalex-snapshot
SMPL: A Skinned Multi-Person Linear Model
inferredcites →https://doi.org/10.1609/aaai.v34i07.6689openalex-snapshot
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training
inferredcites →https://doi.org/10.3390/s140304189openalex-snapshot
A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery
inferredcites →https://doi.org/10.3390/s16121966openalex-snapshot
Human Pose Estimation from Monocular Images: A Comprehensive Survey
inferredcites →https://doi.org/10.3390/s19204603openalex-snapshot
Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data
inferredcites →https://doi.org/10.48550/arxiv.1705.02883openalex-snapshot
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image
inferredcites →https://doi.org/10.48550/arxiv.1806.09316openalex-snapshot
Vision-based Pose Estimation for Augmented Reality : A Comparison Study
inferredcites →https://doi.org/10.48550/arxiv.1908.08289openalex-snapshot
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
inferredcites →https://doi.org/10.5220/0007555407440748openalex-snapshot
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
inferredcites →https://doi.org/10.5244/c.27.45openalex-snapshot
Multi-view Pictorial Structures for 3D Human Pose Estimation
inferredcites →https://doi.org/10.5244/c.31.14openalex-snapshot
Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-08995-4_25openalex-snapshot
Telerehabilitation Technology
inferred← citeshttps://doi.org/10.1007/978-3-031-21689-3_20openalex-snapshot
A Survey of Recent Advances on Two-Step 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1007/978-3-032-20287-1_46openalex-snapshot
Utilising Optimisation Techniques for Accurate and Robust Markerless Motion Capture Reconstructions
inferred← citeshttps://doi.org/10.1109/metacom62920.2024.00041openalex-snapshot
A Review of Privacy and Utility in Skeleton-based Data in Virtual Reality Metaverses
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343112openalex-snapshot
Generating a Synthetic Dataset for Hand Pose Estimation Training
inferred← citeshttps://doi.org/10.1145/3460418.3479281openalex-snapshot
MilliPose: Facilitating Full Body Silhouette Imaging from Millimeter-Wave Device
inferred← citeshttps://doi.org/10.2196/37604openalex-snapshot
An Artificial Intelligence Exercise Coaching Mobile App: Development and Randomized Controlled Trial to Verify Its Effectiveness in Posture Correction
inferred← citeshttps://doi.org/10.3390/electronics11071048openalex-snapshot
Low-Cost Method for 3D Body Measurement Based on Photogrammetry Using Smartphone
inferred← citeshttps://doi.org/10.3390/s23177312openalex-snapshot
DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.3390/s24175530openalex-snapshot
Three-Dimensional Posture Estimation of Vehicle Occupants Using Depth and Infrared Images
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