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HS-Nets: Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks

https://doi.org/10.1109/3dv.2016.19

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_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/10.1007/978-3-642-17616-6openalex-snapshot

Web Information Systems Engineering – WISE 2010

inferredcites →https://doi.org/10.1007/978-981-16-2233-5_5openalex-snapshot

Convolutional Neural Network

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/10.1016/j.cviu.2014.06.012openalex-snapshot

Estimation of human body shape and posture under clothing

inferredcites →https://doi.org/10.1016/j.patcog.2017.02.018openalex-snapshot

Building statistical shape spaces for 3D human modeling

inferredcites →https://doi.org/10.1109/3dv.2013.44openalex-snapshot

Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker

inferredcites →https://doi.org/10.1109/3dv.2013.51openalex-snapshot

Shape and Pose Space Deformation for Subject Specific Animation

inferredcites →https://doi.org/10.1109/3dv.2014.47openalex-snapshot

Semantic Parametric Reshaping of Human Body Models

inferredcites →https://doi.org/10.1109/3dv.2014.52openalex-snapshot

A Layered Model of Human Body and Garment Deformation

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.2007.383340openalex-snapshot

Detailed Human Shape and Pose from Images

inferredcites →https://doi.org/10.1109/cvpr.2009.5206863openalex-snapshot

Efficient planar graph cuts with applications in Computer Vision

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.2011.5995507openalex-snapshot

Intrinsic images using optimization

inferredcites →https://doi.org/10.1109/cvpr.2014.214openalex-snapshot

DeepPose: Human Pose Estimation via Deep Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2014.301openalex-snapshot

Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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.2015.7298845openalex-snapshot

3D deep shape descriptor

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.149openalex-snapshot

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

inferredcites →https://doi.org/10.1109/cvpr.2016.240openalex-snapshot

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching

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

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/iccv.2007.4409018openalex-snapshot

Fast Matching of Planar Shapes in Sub-cubic Runtime

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/iccv.2015.114openalex-snapshot

Multi-view Convolutional Neural Networks for 3D Shape Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.336openalex-snapshot

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

inferredcites →https://doi.org/10.1109/iccvw.2009.5457443openalex-snapshot

Learning shape priors for single view reconstruction

inferredcites →https://doi.org/10.1109/im.1999.805368openalex-snapshot

The CAESAR project: a 3-D surface anthropometry survey

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/tpami.2007.41openalex-snapshot

Shape Classification Using the Inner-Distance

inferredcites →https://doi.org/10.1111/cgf.12296openalex-snapshot

4D video textures for interactive character appearance

inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01373.xopenalex-snapshot

A Statistical Model of Human Pose and Body Shape

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

SCAPE

inferredcites →https://doi.org/10.1145/1073368.1073375openalex-snapshot

Video-based character animation

inferredcites →https://doi.org/10.1145/1186822.1073207openalex-snapshot

SCAPE

inferredcites →https://doi.org/10.1145/1360612.1360697openalex-snapshot

Performance capture from sparse multi-view video

inferredcites →https://doi.org/10.1145/1399504.1360697openalex-snapshot

Performance capture from sparse multi-view video

inferredcites →https://doi.org/10.1145/1778765.1778863openalex-snapshot

Parametric reshaping of human bodies in images

inferredcites →https://doi.org/10.1145/1866158.1866174openalex-snapshot

MovieReshape

inferredcites →https://doi.org/10.1145/1882262.1866174openalex-snapshot

MovieReshape

inferredcites →https://doi.org/10.1145/1964921.1964927openalex-snapshot

Video-based characters

inferredcites →https://doi.org/10.1145/2185520.2185531openalex-snapshot

DRAPE

inferredcites →https://doi.org/10.1145/2634212openalex-snapshot

Garment Replacement in Monocular Video Sequences

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

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/344779.344862openalex-snapshot

Pose space deformation

inferredcites →https://doi.org/10.2312/3dor20171050/039-050.pdf?sequence=1openalex-snapshot

SHREC'17 Track Large-Scale 3D Shape Retrieval From Shapenet Core55

inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot

ADADELTA: An Adaptive Learning Rate Method

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.1502.03167openalex-snapshot

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

inferredcites →https://doi.org/10.48550/arxiv.1506.04449openalex-snapshot

Compressing Convolutional Neural Networks

What points at this work

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

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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

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MoFiM: A morphable fish modeling method for underwater binocular vision system

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Analyzing Clothing Layer Deformation Statistics of 3D Human Motions

inferred← citeshttps://doi.org/10.1007/978-3-030-01234-2_2openalex-snapshot

BodyNet: Volumetric Inference of 3D Human Body Shapes

inferred← citeshttps://doi.org/10.1007/978-3-030-41816-8_8openalex-snapshot

Reconstructing 3D Human Avatars from Monocular Images

inferred← citeshttps://doi.org/10.1007/978-3-030-58568-6_21openalex-snapshot

3D Human Shape Reconstruction from a Polarization Image

inferred← citeshttps://doi.org/10.1007/978-3-030-69544-6_3openalex-snapshot

FootNet: An Efficient Convolutional Network for Multiview 3D Foot Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-030-99188-3_6openalex-snapshot

Mesh2Measure: A Novel Body Dimensions Measurement Based on 3D Human Model

inferred← citeshttps://doi.org/10.1007/978-3-031-13324-4_16openalex-snapshot

Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation

inferred← citeshttps://doi.org/10.1007/978-3-031-96538-8_14openalex-snapshot

Estimation of Body Ratios from Low-Resolution, Dual-Energy X-Ray Images Using Convolutional Neural Networks

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/10.1007/978-981-16-0443-0_28openalex-snapshot

Human Body Measurement Extraction from 2D Images

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

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Reconstructing three-dimensional models of objects using a Kinect sensor

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3D human body reconstruction based on SMPL model

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

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Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation

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In-home application (App) for 3D virtual garment fitting dressing room

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

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A methodology for realistic human shape reconstruction from 2D images

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A New RBF Reflection Model for Shape from Shading

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Machine learning for digital try-on: Challenges and progress

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A Modeling Method for the Human Body Model with Facial Morphology

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Parametric modeling of 3D human body shape—A survey

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Automatic measurement of anthropometric dimensions using frontal and lateral silhouettes

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Human Body Shape Reconstruction from Binary Image Using Convolutional Neural Network

inferred← citeshttps://doi.org/10.1108/ijcst-06-2023-0086openalex-snapshot

Status of research on parametric methods for the reconstruction of 3D models of the human body for virtual fitting

inferred← citeshttps://doi.org/10.1109/3dv.2017.00025openalex-snapshot

How to Refine 3D Hand Pose Estimation from Unlabelled Depth Data?

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Efficient Model-Free Anthropometry from Depth Data

inferred← citeshttps://doi.org/10.1109/3dv.2019.00039openalex-snapshot

Towards Accurate 3D Human Body Reconstruction from Silhouettes

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Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views

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

Human Body Measurement Estimation with Adversarial Augmentation

inferred← citeshttps://doi.org/10.1109/access.2019.2962833openalex-snapshot

Non-Parametric Anthropometric Graph Convolutional Network for Virtual Mannequin Reconstruction

inferred← citeshttps://doi.org/10.1109/access.2021.3049548openalex-snapshot

Detailed 3D Human Body Reconstruction From a Single Image Based on Mesh Deformation

inferred← citeshttps://doi.org/10.1109/cvpr.2017.584openalex-snapshot

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

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00055openalex-snapshot

Learning to Estimate 3D Human Pose and Shape from a Single Color Image

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A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation

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Learning to Reconstruct People in Clothing From a Single RGB Camera

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SiCloPe: Silhouette-Based Clothed People

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Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation

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Self-Supervised Human Depth Estimation From Monocular Videos

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SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data

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Deep Learning Whole Body Point Cloud Scans from a Single Depth Map

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SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data

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3D Shape Estimation from RGB Data Using 2.5D Features and Deep Learning

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Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images

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

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Deep Learning Anthropomorphic 3D Point Clouds from a Single Depth Map Camera Viewpoint

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Object Inflation for Artistic Augmentation in Images and Animations

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Single Image Shape-from-Silhouettes

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Affect-Preserving Visual Privacy Protection

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

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sSfS: Segmented Shape from Silhouette Reconstruction of the Human Body

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Learning to Estimate 3D Human Pose and Shape from a Single Color Image

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Learning to Reconstruct People in Clothing from a Single RGB Camera

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Single-view 3D reconstruction of curves

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