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Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

https://doi.org/10.1109/iccv.2019.00445
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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_2openalex-snapshot
BodyNet: Volumetric Inference of 3D Human Body Shapes
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_41openalex-snapshot
Learning 3D Human Pose from Structure and Motion
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_46openalex-snapshot
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_48openalex-snapshot
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46454-1_31openalex-snapshot
General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues
inferredcites →https://doi.org/10.1007/978-3-319-46454-1_34openalex-snapshot
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
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/10.1007/978-3-319-46493-0_27openalex-snapshot
Estimation of Human Body Shape in Motion with Wide Clothing
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot
Identity Mappings in Deep Residual Networks
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_17openalex-snapshot
Deep Kinematic Pose Regression
inferredcites →https://doi.org/10.1007/978-3-540-88688-4_2openalex-snapshot
The Naked Truth: Estimating Body Shape Under Clothing
inferredcites →https://doi.org/10.1007/978-3-642-15558-1_22openalex-snapshot
Inferring 3D Shapes and Deformations from Single Views
inferredcites →https://doi.org/10.1016/j.cag.2009.03.026openalex-snapshot
Estimating body shape of dressed humans
inferredcites →https://doi.org/10.1016/j.cviu.2014.06.012openalex-snapshot
Estimation of human body shape and posture under clothing
inferredcites →https://doi.org/10.1016/j.neucom.2018.10.009openalex-snapshot
Multiview 3D human pose estimation using improved least-squares and LSTM networks
inferredcites →https://doi.org/10.1109/3dv.2016.19openalex-snapshot
HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/3dv.2016.58openalex-snapshot
Synthesizing Training Images for Boosting Human 3D Pose Estimation
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.2018.00061openalex-snapshot
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture
inferredcites →https://doi.org/10.1109/3dv.2018.00062openalex-snapshot
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
inferredcites →https://doi.org/10.1109/cvpr.2007.383340openalex-snapshot
Detailed Human Shape and Pose from Images
inferredcites →https://doi.org/10.1109/cvpr.2010.5539853openalex-snapshot
Multilinear pose and body shape estimation of dressed subjects from image sets
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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.2017.582openalex-snapshot
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences
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.2018.00013openalex-snapshot
GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
inferredcites →https://doi.org/10.1109/cvpr.2018.00055openalex-snapshot
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
inferredcites →https://doi.org/10.1109/cvpr.2018.00744openalex-snapshot
End-to-End Recovery of Human Shape and Pose
inferredcites →https://doi.org/10.1109/cvpr.2019.00127openalex-snapshot
Learning to Reconstruct People in Clothing From a Single RGB Camera
inferredcites →https://doi.org/10.1109/cvpr.2019.00463openalex-snapshot
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
inferredcites →https://doi.org/10.1109/iccv.2009.5459300openalex-snapshot
Estimating human shape and pose from a single image
inferredcites →https://doi.org/10.1109/iccv.2017.284openalex-snapshot
Compositional Human Pose Regression
inferredcites →https://doi.org/10.1109/iccv.2017.425openalex-snapshot
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2017.470openalex-snapshot
Learning-Based Cloth Material Recovery from Video
inferredcites →https://doi.org/10.1109/tpami.2013.248openalex-snapshot
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
inferredcites →https://doi.org/10.1109/wacv.2019.00108openalex-snapshot
Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
inferredcites →https://doi.org/10.1145/1866158.1866174openalex-snapshot
MovieReshape
inferredcites →https://doi.org/10.1145/1882262.1866174openalex-snapshot
MovieReshape
inferredcites →https://doi.org/10.1145/2366145.2366171openalex-snapshot
Adaptive anisotropic remeshing for cloth simulation
inferredcites →https://doi.org/10.1145/2816795.2818013openalex-snapshot
SMPL
inferredcites →https://doi.org/10.1145/3072959.3073596openalex-snapshot
VNect
inferredcites →https://doi.org/10.1145/3072959.3073711openalex-snapshot
ClothCap
inferredcites →https://doi.org/10.21236/ada406704openalex-snapshot
Civilian American and European Surface Anthropometry Resource (CAESAR), Final Report. Volume 1. Summary
inferredcites →https://doi.org/10.48550/arxiv.1712.01337openalex-snapshot
Self-supervised Learning of Motion Capture
inferredcites →https://doi.org/10.5244/c.31.14openalex-snapshot
Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors
inferredcites →https://doi.org/10.5244/c.31.15openalex-snapshot
Indirect deep structured learning for 3D human body shape and pose prediction

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.4772785openalex-extracted
Few-Shot Multi-Human Neural Rendering Using Geometry Constraints
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Appearance Consensus Driven Self-supervised Human Mesh Recovery
inferred← citeshttps://doi.org/10.1007/978-3-030-58523-5_14openalex-snapshot
GAN-Based Garment Generation Using Sewing Pattern Images
inferred← citeshttps://doi.org/10.1007/978-3-030-58565-5_2openalex-snapshot
BCNet: Learning Body and Cloth Shape from a Single Image
inferred← citeshttps://doi.org/10.1007/978-3-030-67835-7_4openalex-snapshot
Deep 3D Modeling of Human Bodies from Freehand Sketching
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Fabric Material Recovery from Video Using Multi-scale Geometric Auto-Encoder
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3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
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SkelFormer: Markerless 3D Pose and Shape Estimation Using Skeletal Transformers
inferred← citeshttps://doi.org/10.1007/978-3-032-36839-3_10openalex-snapshot
Monocular Models Are Strong Learners for Multi-view Human Mesh Recovery
inferred← citeshttps://doi.org/10.1007/978-981-96-6688-1_14openalex-snapshot
Multi-view Self-supervised 3D Human Pose and Shape Estimation on SMPL
inferred← citeshttps://doi.org/10.1007/s00371-023-02946-3openalex-snapshot
Three stages of 3D virtual try-on network with appearance flow and shape field
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Toward multi-category garments virtual try-on method by coarse to fine TPS deformation
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SS-MVMETRO: Semi-supervised multi-view human mesh recovery transformer
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SHARP: Shape-Aware Reconstruction of People in Loose Clothing
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Multi-view 3D human pose reconstruction based on spatial confidence point group for jump analysis in figure skating
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Machine learning for digital try-on: Challenges and progress
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A dynamic virtual try-on simulation framework for speed skating suits
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PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/3dv57658.2022.00034openalex-snapshot
Human Body Measurement Estimation with Adversarial Augmentation
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CNN-Based Denoising, Completion, and Prediction of Whole-Body Human-Depth Images
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LogRF: An Approach to Human Pose Estimation Using Skeleton Landmarks for Physiotherapy Fitness Exercise Correction
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Multi-View Human Mesh Reconstruction via Direction-Aware Feature Fusion
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00740openalex-snapshot
Object-Occluded Human Shape and Pose Estimation From a Single Color Image
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01370openalex-snapshot
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01394openalex-snapshot
POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01583openalex-snapshot
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00274openalex-snapshot
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01541openalex-snapshot
DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering
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BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
inferred← citeshttps://doi.org/10.1109/icaiic51459.2021.9415231openalex-snapshot
Volumetric Human Reconstruction from a Single Depth Map
inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00456openalex-snapshot
End-to-end Model-based Gait Recognition using Synchronized Multi-view Pose Constraint
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Improved 3D Human Pose Real-time Estimation based on Monocular Video
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Multi-View Human Model Fitting Using Bone Orientation Constraint and Joints Triangulation
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MVHR-OEL: Multi-View 3D Human Reconstruction with Online Evolutive Learning
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3D Human Pose and Shape Estimation Based on SMPL Model
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Orthographic Projection Linear Regression for Single Image 3D Human Pose Estimation
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Dynamic 3D Human Body Shape and Pose Estimation from Multiple Views Based on DQN
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A Novel Transformer-based Framework for Multi-View 3D Human Mesh Reconstruction
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AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning
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AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
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Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos
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Multi-View Large Population Gait Database With Human Meshes and Its Performance Evaluation
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MVP-Human Dataset for 3-D Clothed Human Avatar Reconstruction From Multiple Frames
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GaitAGE: Gait Age and Gender Estimation Based on an Age- and Gender-Specific 3D Human Model
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PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction
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Object-Occluded Human Shape and Pose Estimation With Probabilistic Latent Consistency
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3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-view Model-fitting
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A FLEXIBLE MULTI-VIEW HUMAN MESH RECONSTRUCTION FRAMEWORK FOR PREDICTING METRIC SMPL PARAMETERS UTILIZING EXISTING SINGLE-VIEW MODELS AS BASE MODELS
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Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery
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ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
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3D Human Pose Estimation Based on Wearable IMUs and Multiple Camera Views
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Consistent Cross-View Association of Aerial–Ground Remote Sensing Imagery via Graph-Constrained Framework
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Towards Robust RGB-D Human Mesh Recovery
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BCNet: Learning Body and Cloth Shape from A Single Image
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Multi-view Human Pose and Shape Estimation Using Learnable Volumetric Aggregation
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Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model
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HUMAN 3D POSE ESTIMATION BASED ON 2D KEYPOINTS
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Self-avatar: Monocular 3D human reconstruction from RGB image
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