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Towards Accurate 3D Human Body Reconstruction from Silhouettes

https://doi.org/10.1109/3dv.2019.00039

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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/10.1007/978-3-030-01234-2_49openalex-snapshot

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_35openalex-snapshot

Volumetric Performance Capture from Minimal Camera Viewpoints

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/10.1007/978-3-319-46493-0_6openalex-snapshot

Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests

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/10.1007/s00138-011-0353-9openalex-snapshot

Three-dimensional human shape inference from silhouettes: reconstruction and validation

inferredcites →https://doi.org/10.1007/s00371-013-0775-7openalex-snapshot

Deformable model for estimating clothed and naked human shapes from a single image

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.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.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

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

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.241openalex-snapshot

Learning from Simulated and Unsupervised Images through Adversarial Training

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.2017.501openalex-snapshot

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

inferredcites →https://doi.org/10.1109/cvpr.2017.584openalex-snapshot

Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.715openalex-snapshot

Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing

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.2018.00229openalex-snapshot

Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes: The Importance of Multiple Scene Constraints

inferredcites →https://doi.org/10.1109/cvpr.2018.00375openalex-snapshot

3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare

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.2018.00868openalex-snapshot

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

inferredcites →https://doi.org/10.1109/cvpr.2018.00875openalex-snapshot

Video Based Reconstruction of 3D People Models

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.2011.6126221openalex-snapshot

Silhouette-based object phenotype recognition using 3D shape priors

inferredcites →https://doi.org/10.1109/pg.2007.45openalex-snapshot

A Data-driven Approach to Human-body Cloning Using a Segmented Body Database

inferredcites →https://doi.org/10.1109/pg.2007.5openalex-snapshot

Organizing Committee

inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01515.xopenalex-snapshot

A Concise and Provably Informative Multi‐Scale Signature Based on Heat Diffusion

inferredcites →https://doi.org/10.1145/1073204.1073207openalex-snapshot

SCAPE

inferredcites →https://doi.org/10.1145/2816795.2818013openalex-snapshot

SMPL

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.1502.03167openalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.48550/arxiv.1506.03365openalex-snapshot

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

inferredcites →https://doi.org/10.48550/arxiv.1712.01337openalex-snapshot

Self-supervised Learning of Motion Capture

inferredcites →https://doi.org/10.48550/arxiv.1802.04865openalex-snapshot

Learning Confidence for Out-of-Distribution Detection in Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1807.00502openalex-snapshot

Leveraging Uncertainty Estimates for Predicting Segmentation Quality

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.4673117openalex-extracted

Automated Anthropometric Measurements from 3d Point Clouds of Scanned Bodies

inferred← citeshttps://doi.org/10.2139/ssrn.4797587openalex-extracted

Automated Anthropometric Measurements from 3d Point Clouds of Scanned Bodies

inferred← citeshttps://doi.org/10.1002/osp4.627openalex-snapshot

Modification and refinement of three‐dimensional reconstruction to estimate body volume from a simulated single‐camera image

inferred← citeshttps://doi.org/10.1007/978-3-030-95892-3_52openalex-snapshot

Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-21333-5_16openalex-snapshot

A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans

inferred← citeshttps://doi.org/10.1007/978-3-031-26319-4_23openalex-snapshot

Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image

inferred← citeshttps://doi.org/10.1007/978-3-032-04968-1_30openalex-snapshot

AnthroFormer3D: Automating 3D Body Measurement Extraction via Vision Transformers Using a Novel Dataset

inferred← citeshttps://doi.org/10.1007/s00500-022-07464-3openalex-snapshot

The rapid construction method of human body model for virtual try-on on mobile terminal based on MDD-Net

inferred← citeshttps://doi.org/10.1007/s11042-022-12284-6openalex-snapshot

Anthropometric salient points and convolutional neural network (CNN) for 3D human body classification

inferred← citeshttps://doi.org/10.1007/s11042-023-16170-7openalex-snapshot

Adjustable method based on body parts for improving the accuracy of 3D reconstruction in visually important body parts from silhouettes

inferred← citeshttps://doi.org/10.1016/j.cad.2021.103106openalex-snapshot

A Modeling Method for the Human Body Model with Facial Morphology

inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112060openalex-snapshot

ABM: An Automatic Body Measurement framework via body deformation and topology-aware B-spline approximation

inferred← citeshttps://doi.org/10.1038/s41746-023-00909-5openalex-snapshot

Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio

inferred← citeshttps://doi.org/10.1109/3dv57658.2022.00034openalex-snapshot

Human Body Measurement Estimation with Adversarial Augmentation

inferred← citeshttps://doi.org/10.1109/access.2021.3076595openalex-snapshot

A Review of Body Measurement Using 3D Scanning

inferred← citeshttps://doi.org/10.1109/access.2022.3178419openalex-snapshot

A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning

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/icce48956.2021.9352148openalex-snapshot

Framework Development for 3D Human Shape Reconstruction from Security Camera

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01103openalex-snapshot

Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00896openalex-snapshot

MeasureXpert: Automatic Anthropometric Measurement Extraction from Two Unregistered, Partial, Posed, and Dressed Body Scans

inferred← citeshttps://doi.org/10.1109/insai56792.2022.00042openalex-snapshot

A Novel Transformer-based Framework for Multi-View 3D Human Mesh Reconstruction

inferred← citeshttps://doi.org/10.1109/tim.2021.3073687openalex-snapshot

Depth Measurement Based on Stereo Vision With Integrated Camera Rotation

inferred← citeshttps://doi.org/10.1109/tip.2021.3136613openalex-snapshot

Limb Pose Aware Networks for Monocular 3D Pose Estimation

inferred← citeshttps://doi.org/10.1109/tpami.2020.3042341openalex-snapshot

Learning 3D Human Shape and Pose from Dense Body Parts

inferred← citeshttps://doi.org/10.1145/3474963.3474973openalex-snapshot

3D Human Reconstruction: A Comparison Between Images-Based and Point Cloud-Based Method

inferred← citeshttps://doi.org/10.1177/00405175251318629openalex-snapshot

Non-contact body measurement for garment customization based on 2D images: A systematic review

inferred← citeshttps://doi.org/10.3390/electronics12224705openalex-snapshot

Taxonomy and Survey of Current 3D Photorealistic Human Body Modelling and Reconstruction Techniques for Holographic-Type Communication

inferred← citeshttps://doi.org/10.3390/s20133690openalex-snapshot

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

inferred← citeshttps://doi.org/10.3390/s22051885openalex-snapshot

Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement

inferred← citeshttps://doi.org/10.5244/c.35.366openalex-snapshot

Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model

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