Explanipedia

The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements Open

Sergi Pujades, B Mohler, Anne Thaler, Joachim Tesch, Naureen Mahmood , et al. · 2025

Creating metrically accurate avatars is important for many applications such as virtual clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming. Creating avatars that precisely represent a particular individ…

<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision Open

Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe, Christina Gsaxner , et al. · 2024

Objectives The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. …

OSATTA: One-Shot Automatic Test Time Augmentation for Domain Adaptation Open

Felix Küper, Sergi Pujades · 2024

HIT: Estimating Internal Human Implicit Tissues from the Body Surface Open

Marilyn Keller, Vaibhav Arora, Abdelmouttaleb Dakri, Shivam Chandhok, Jürgen Machann , et al. · 2024

International audience

On Predicting 3D Bone Locations Inside the Human Body Open

Abdelmouttaleb Dakri, Vaibhav Arora, Léo Challier, Marilyn Keller, Michael J. Black , et al. · 2024

From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans Open

Marilyn Keller, Keenon Werling, Soyong Shin, Scott L. Delp, Sergi Pujades , et al. · 2023

Great progress has been made in estimating 3D human pose and shape from images and video by training neural networks to directly regress the parameters of parametric human models like SMPL. However, existing body models have simplified kin…

4DHumanOutfit: A multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements Open

Matthieu Armando, Laurence Boissieux, Edmond Boyer, Jean-Sébastien Franco, Martin Humenberger , et al. · 2023

Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis Open

Nicolas Comte, Sergi Pujades, Aurélien Courvoisier, Olivier Daniel, Jean-Sébastien Franco , et al. · 2023

Adolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. Howe…

Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity Open

M. C. Wong, Jonathan P. Bennett, Brandon K. Quon, Lambert T. Leong, Isaac Y. Tian , et al. · 2023

4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements Open

Matthieu Armando, Laurence Boissieux, Edmond Boyer, Jean-Sébastien Franco, Martin Humenberger , et al. · 2023

This work presents 4DHumanOutfit, a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions. The dataset is designed to contain different actors wearing different outfits while performin…

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge Open

Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik, Sergi Pujades, Edmond Boyer , et al. · 2023

Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health. However, developing automated a…

Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle Open

Di Meng, Edmond Boyer, Sergi Pujades · 2023

MedShapeNetCore Open

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin , et al. · 2023

MedShapeNetCore is a subset of MedShapeNet, containing more lightweight 3D anatomical shapes in the format of mask, point cloud and mesh. The shape data are stored as numpy arrays in nested dictonaries in npz format (Zenodo). This API prov…

Accuracy and Precision of 3D Optical Imaging for Body Composition and their Associations to Metabolic Markers by Age, BMI, and Ethnicity Open

M. C. Wong, Jonathan P. Bennett, Brandon K. Quon, Lambert T. Leong, Isaac Y. Tian , et al. · 2022

Background Recent three-dimensional optical (3DO) imaging advancements have provided a more accessible, affordable, and self-operating opportunities for assessing body composition. 3DO is accurate and precise compared to clinical measures …

Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis Open

Achraf Ben-Hamadou, Oussama Smaoui, Houda Chaabouni-Chouayakh, Ahmed Rekik, Sergi Pujades , et al. · 2022

Intraoral 3D scans analysis is a fundamental aspect of Computer-Aided Dentistry (CAD) systems, playing a crucial role in various dental applications, including teeth segmentation, detection, labeling, and dental landmark identification. Ac…

OSSO: Obtaining Skeletal Shape from Outside Open

Marilyn Keller, Silvia Zuffi, Michael J. Black, Sergi Pujades · 2022

International audience

OSSO: Obtaining Skeletal Shape from Outside Open

Marilyn Keller, Silvia Zuffi, Michael J. Black, Sergi Pujades · 2022

We address the problem of inferring the anatomic skeleton of a person, in an arbitrary pose, from the 3D surface of the body; i.e. we predict the inside (bones) from the outside (skin). This has many applications in medicine and biomechani…

Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle Open

Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades · 2022

Vertebrae segmentation, identification and localization using a graph optimization and a synergistic cycle. Open

Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades · 2021

This paper considers the segmentation, identification and localization of vertebrae in CT images. Although these three tasks are related, they face specific problems that add up when they are addressed together. For example neighboring ver…

A pose‐independent method for accurate and precise body composition from 3D optical scans Open

M. C. Wong, Bennett K. Ng, Isaac Y. Tian, Sima Sobhiyeh, Ian Pagano , et al. · 2021

Objective The aim of this study was to investigate whether digitally re‐posing three‐dimensional optical (3DO) whole‐body scans to a standardized pose would improve body composition accuracy and precision regardless of the initial pose. Me…

3D Teeth Scan Segmentation and Labelling Challenge Open

Achraf Ben-Hamadou, Houda Chaabouni, Sergi Pujades, Edmond Boyer, Ahmed Rekik , et al. · 2021

Computer-aided design (CAD) tools have become increasingly popular in modern dentistry for highly accurate treatment planning. In particular, in orthodontic CAD systems, advanced intraoral scanners (IOSs) are now widely used as they provid…

Decision letter: TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields Open

Sergi Pujades · 2020

Learning to Dress 3D People in Generative Clothing Open

Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons‐Moll , et al. · 2020

International audience

Learning to Dress 3D People in Generative Clothing Open

Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons‐Moll , et al. · 2020

Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do not generalize to the complexity of dressed people in common im…

Learning a Statistical Full Spine Model from Partial Observations Open

Di Meng, Marilyn Keller, Edmond Boyer, Michael J. Black, Sergi Pujades · 2020

Morphology-Based Individual Vertebrae Classification Open

Eslam Mohammed, Di Meng, Sergi Pujades · 2020

The Influence of Visual Perspective on Body Size Estimation in Immersive Virtual Reality Open

Anne Thaler, Sergi Pujades, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Joachim Tesch , et al. · 2019

International audience

Dressing 3D Humans using a Conditional Mesh-VAE-GAN. Open

Qianli Ma, Siyu Tang, Sergi Pujades, Gerard Pons‐Moll, Anurag Ranjan , et al. · 2019

Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed humans and thus do not capture the complexity of dressed humans in common images and…

Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences Open

Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich Hofmann , et al. · 2019

Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and articulations. Acquisition of such data requires expensive eq…

The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements Open

Sergi Pujades, Betty J. Mohler, Anne Thaler, Joachim Tesch, Naureen Mahmood , et al. · 2019

Creating metrically accurate avatars is important for many applications such as virtual clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming. Creating avatars that precisely represent a particular individ…

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