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Learning to Estimate 3D Human Pose and Shape from a Single Color Image
[article]
2018
arXiv
pre-print
Preserved Fulltext
This work addresses the problem of estimating the full body 3D human pose and shape from a single color image. ...
The proposed approach outperforms previous baselines on this task and offers an attractive solution for direct prediction of 3D shape from a single color image. ...
Acknowledgements: We gratefully appreciate support through the following grants: NSF-IIP-1439681 (I/UCRC), ARL RCTA W911NF-10-2-0016, ONR N00014-17-1-2093, DARPA FLA program and NSF/IUCRC. ...
arXiv:1805.04092v1
fatcat:zwnxgnkiergj7l4wn4wclvlb2m
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
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This work addresses the problem of estimating the full body 3D human pose and shape from a single color image. ...
The proposed approach outperforms previous baselines on this task and offers an attractive solution for direct prediction of 3D shape from a single color image. ...
Acknowledgements: We gratefully appreciate support through the following grants: NSF-IIP-1439681 (I/UCRC), ARL RCTA W911NF-10-2-0016, ONR N00014-17-1-2093, DARPA FLA program and NSF/IUCRC. ...
doi:10.1109/cvpr.2018.00055
dblp:conf/cvpr/PavlakosZZD18
fatcat:57er4ormjfa6xbj4bhnkvsnjnq
3D Human Shape Reconstruction from a Polarization Image
[article]
2020
arXiv
pre-print
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Inspired by the recent advances in human shape estimation from single color images, in this paper, we attempt at estimating human body shapes by leveraging the geometric cues from single polarization images ...
This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. ...
Acknowledgement This work is supported by the NSERC Discovery Grants, and the University of Alberta-Huawei Joint Innovation Collaboration grants. ...
arXiv:2007.09268v1
fatcat:c2trusxcyjfs5i6hf2kac4oetu
Object-Occluded Human Shape and Pose Estimation From a Single Color Image
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, we focus on the problem of directly estimating the object-occluded human shape and pose from single color images. ...
Our key idea is to utilize a partial UV map to represent an objectoccluded human body, and the full 3D human shape estimation is ultimately converted as an image inpainting problem. ...
human shape and pose estimation from single color images. ...
doi:10.1109/cvpr42600.2020.00740
dblp:conf/cvpr/ZhangHW20
fatcat:2np64ffvxbbodkxh3mvrmuen6u
CoreUI: Interactive Core Training System with 3D Human Shape
[article]
2021
arXiv
pre-print
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To solve this issue, we employ the skinned multi-person linear model of human shape to recover the 3D human pose from 2D images using pose estimation and human mesh recovery approaches. ...
In order to support the user in maintaining the correct postures from target poses in the training, we adopt 3D human shape estimation for both the target image and input camera video. ...
User Interface
3D Shape and Pose Estimation To obtain 3D human shape and pose from a single image, the proposed system adopts pose estimation based on OpenPose to realize the bounding box of the human ...
arXiv:2106.09196v1
fatcat:ryg432l4xndynbxrf3z7bq3yqa
Human Appearance Transfer
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Our solution to this new problem is formulated in terms of a computational pipeline that combines (1) 3d human pose and body shape estimation from monocular images, (2) identifying 3d surface colors elements ...
Given a single source image and a single target image, each corresponding to different human subjects, wearing different clothing and in different poses, our goal is to photorealistically transfer the ...
Given a single source and a single target image of a person, each with different appearance, possibly different body shape and pose, the goal is to transfer the appearance of the person in the first image ...
doi:10.1109/cvpr.2018.00565
dblp:conf/cvpr/ZanfirPZS18
fatcat:lbnl5wnodnfy3kt3p5ejzcvwnq
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
[article]
2019
arXiv
pre-print
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Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data. ...
In this paper, we propose to directly regress the 3D human mesh from a single color image using Convolutional Neural Network(CNN). ...
Human shape and pose estimation Estimating 3D human pose and shape from a single color image is a challenging problem. ...
arXiv:1903.10153v3
fatcat:5zwhcm77njdwzhdeuuj4nq6wu4
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
[article]
2020
arXiv
pre-print
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We propose Geo-PIFu, a method to recover a 3D mesh from a monocular color image of a clothed person. ...
in query point encoding, second, to serve as a coarse human shape proxy to regularize the high-resolution mesh and encourage global shape regularity. ...
Acknowledgment Research supported in part by ONR N00014-17-1-2072, N00014-13-1-034, ARO W911NF-17-1-0304, and Adobe. ...
arXiv:2006.08072v2
fatcat:7qbnswptdfapzh2e5bxygvrsgy
LISA: Learning Implicit Shape and Appearance of Hands
[article]
2022
arXiv
pre-print
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The shape, color and pose representations are disentangled by design, allowing to estimate or animate only selected parameters. ...
We train LISA by minimizing the shape and appearance losses on a large set of multi-view RGB image sequences annotated with coarse 3D poses of the hand skeleton. ...
Shape and color reconstruction from images Table 2 evaluates the hand models on the task of 3D reconstruction from single and multiple views on the Deep-HandMesh dataset [37] . ...
arXiv:2204.01695v1
fatcat:53v7sunsjze6ndb5k2exeqz6x4
Human Pose and Shape Estimation from Single Polarization Images
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2108.06834v1 fatcat:ly36z7s6rrcxneysabjw2542ge
This paper focuses on a new problem of estimating human pose and shape from single polarization images. ...
Inspired by the recent applications in surface normal reconstruction from polarization images, in this paper, we attempt to estimate human pose and shape from single polarization images by leveraging the ...
That is, we consider the problem of estimating human pose and shape from a single polarization image. ...
arXiv:2108.06834v2
fatcat:wn4arcnr3nbpxcesf6r3djn67a
Vision-based human motion analysis: An overview
2007
Computer Vision and Image Understanding
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Markerless vision-based human motion analysis has the potential to provide an inexpensive, non-obtrusive solution for the estimation of body poses. ...
In this paper, we discuss the characteristics of human motion analysis. We divide the analysis into a modeling and an estimation phase. ...
The author wishes to thank Dariu Gavrila and the anonymous CVIU reviewers for their valuable comments, and all authors that contributed figures to this overview. ...
doi:10.1016/j.cviu.2006.10.016
fatcat:yu64upf3a5gfzosmhv5tc2xpbm
ARCH: Animatable Reconstruction of Clothed Humans
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In contrast, ARCH is a learned pose-aware model that produces detailed 3D rigged full-body human avatars from a single unconstrained RGB image. ...
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. ...
We would like to thank Junbang Liang and Yinghao Huang (Interns at FRL) for their work on dataset creation. ...
doi:10.1109/cvpr42600.2020.00316
dblp:conf/cvpr/HuangXL0T20
fatcat:pmq4ncbw7bbpnigrgkiclstqqm
ARCH: Animatable Reconstruction of Clothed Humans
[article]
2020
arXiv
pre-print
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The file type is application/pdf.
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In contrast, ARCH is a learned pose-aware model that produces detailed 3D rigged full-body human avatars from a single unconstrained RGB image. ...
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. ...
We would like to thank Junbang Liang and Yinghao Huang (Interns at FRL) for their work on dataset creation. ...
arXiv:2004.04572v2
fatcat:hu5szk3gh5aglnmh2set5o3lwy
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell
[article]
2020
arXiv
pre-print
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Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. ...
Our proposed PCN allows us to learn the distribution of the TSDF in the tetrahedral volume from a single image in an end-to-end manner. ...
TSDF fields from ground truth (GT) 3D human body scans; and (3) a new CNN-PCN based hourglass network for end-to-end regression of 3D human body shape from a single color image. ...
arXiv:2004.10534v1
fatcat:kjuuvzn7jzekpnpxpf54nkgba4
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2111.05319v1 fatcat:ywa3dmfh7rhv7dga3ztqnpjogyOther Versions
Given a single input color image, existing graph convolutional network (GCN) based techniques for human shape and pose estimation use a single convolutional neural network (CNN) generated global image ...
We propose to improve on graph convolution based approaches for human shape and pose estimation from monocular input, using pixel-aligned local image features. ...
CONCLUSION We presented a method for 3D human shape and pose estimation from a single RGB image. ...
arXiv:2111.05319v3
fatcat:q3o3w3cxtfglnbyb7tvfpe62xi
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