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Related papers: Human Mesh Modeling for Anny Body

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Recovering 3D human pose and shape from a single image remains a cornerstone of human-centric vision, yet most methods assume adult subjects and optimize each person independently. These assumptions fail in real-world, all-age scenes, where…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Laura Bravo-Sánchez , Matthieu Armando , Romain Brégier , Grégory Rogez , Serena Yeung-Levy , Fabien Baradel

Reshaping accurate and realistic 3D human bodies from anthropometric parameters (e.g., height, chest size, etc.) poses a fundamental challenge for person identification, online shopping and virtual reality. Existing approaches for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Yanhong Zeng , Jianlong Fu , Hongyang Chao

While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for many applications, accurate body shape is as important as…

Computer Vision and Pattern Recognition · Computer Science 2022-06-15 Vasileios Choutas , Lea Muller , Chun-Hao P. Huang , Siyu Tang , Dimitrios Tzionas , Michael J. Black

Statistical models of 3D human shape and pose learned from scan databases have developed into valuable tools to solve a variety of vision and graphics problems. Unfortunately, most publicly available models are of limited expressiveness as…

Computer Vision and Pattern Recognition · Computer Science 2017-03-07 Leonid Pishchulin , Stefanie Wuhrer , Thomas Helten , Christian Theobalt , Bernt Schiele

This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body poses, and viewpoints. Prior methods typically attempt to…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Hao Zhu , Xinxin Zuo , Sen Wang , Xun Cao , Ruigang Yang

We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses. The proposed model enables direct modeling of specific human…

Synthetic data has emerged as a promising source for 3D human research as it offers low-cost access to large-scale human datasets. To advance the diversity and annotation quality of human models, we introduce a new synthetic dataset,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Zhitao Yang , Zhongang Cai , Haiyi Mei , Shuai Liu , Zhaoxi Chen , Weiye Xiao , Yukun Wei , Zhongfei Qing , Chen Wei , Bo Dai , Wayne Wu , Chen Qian , Dahua Lin , Ziwei Liu , Lei Yang

Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registered 3D meshes. However, existing human mesh modeling…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Jinhyung Park , Javier Romero , Shunsuke Saito , Fabian Prada , Takaaki Shiratori , Yichen Xu , Federica Bogo , Shoou-I Yu , Kris Kitani , Rawal Khirodkar

Recent advances in 3D human shape estimation build upon parametric representations that model very well the shape of the naked body, but are not appropriate to represent the clothing geometry. In this paper, we present an approach to model…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Albert Pumarola , Jordi Sanchez , Gary P. T. Choi , Alberto Sanfeliu , Francesc Moreno-Noguer

Human shape spaces have been extensively studied, as they are a core element of human shape and pose inference tasks. Classic methods for creating a human shape model register a surface template mesh to a database of 3D scans and use…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Stephan Wenninger , Fabian Kemper , Ulrich Schwanecke , Mario Botsch

Research tasks related to human body analysis have been drawing a lot of attention in computer vision area over the last few decades, considering its potential benefits on our day-to-day life. Anthropometry is a field defining physical…

Computer Vision and Pattern Recognition · Computer Science 2021-12-23 Dana Škorvánková , Adam Riečický , Martin Madaras

Human anatomy, morphology, and associated diseases can be studied using medical imaging data. However, access to medical imaging data is restricted by governance and privacy concerns, data ownership, and the cost of acquisition, thus…

Parametric 3D models have enabled a wide variety of tasks in computer graphics and vision, such as modeling human bodies, faces, and hands. However, the construction of these parametric models is often tedious, as it requires heavy manual…

Computer Vision and Pattern Recognition · Computer Science 2021-08-06 Pablo Palafox , Aljaž Božič , Justus Thies , Matthias Nießner , Angela Dai

We consider the problem of obese human mesh recovery, i.e., fitting a parametric human mesh to images of obese people. Despite obese person mesh fitting being an important problem with numerous applications (e.g., healthcare), much recent…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Ren Li , Meng Zheng , Srikrishna Karanam , Terrence Chen , Ziyan Wu

Advances in the state of the art for 3d human sensing are currently limited by the lack of visual datasets with 3d ground truth, including multiple people, in motion, operating in real-world environments, with complex illumination or…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Eduard Gabriel Bazavan , Andrei Zanfir , Mihai Zanfir , William T. Freeman , Rahul Sukthankar , Cristian Sminchisescu

Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-commerce applications such as virtual try-on or fit…

Computer Vision and Pattern Recognition · Computer Science 2014-11-20 Qiaosong Wang , Vignesh Jagadeesh , Bryan Ressler , Robinson Piramuthu

In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape…

Computer Vision and Pattern Recognition · Computer Science 2019-08-02 Valentin Gabeur , Jean-Sebastien Franco , Xavier Martin , Cordelia Schmid , Gregory Rogez

When designing a product that needs to fit the human shape, designers often use a small set of 3D models, called design models, either in physical or digital form, as representative shapes to cover the shape variabilities of the population…

Computational Geometry · Computer Science 2012-11-22 Stefanie Wuhrer , Chang Shu , Prosenjit Bose

This paper presents a new large multiview dataset called HUMBI for human body expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of five primary body signals including gaze,…

Computer Vision and Pattern Recognition · Computer Science 2021-12-22 Jae Shin Yoon , Zhixuan Yu , Jaesik Park , Hyun Soo Park

In this paper, we define and study a new Cloth2Body problem which has a goal of generating 3D human body meshes from a 2D clothing image. Unlike the existing human mesh recovery problem, Cloth2Body needs to address new and emerging…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Lu Dai , Liqian Ma , Shenhan Qian , Hao Liu , Ziwei Liu , Hui Xiong
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