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Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
[article]
2021
arXiv
pre-print
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of weakly supervised deep monocular human performance capture. ...
capture of the entire deforming surface of a clothed human. ...
Acknowledgments The authors would like to thank the anonymous reviewers for their valuable feedback, and Gereon Fox for the video narration. ...
arXiv:2011.12866v2
fatcat:unwkgbplznatfjr2t66zt644dq
A Deeper Look into DeepCap
[article]
2021
arXiv
pre-print
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We propose a novel deep learning approach for monocular dense human performance capture. ...
Human performance capture is a highly important computer vision problem with many applications in movie production and virtual/augmented reality. ...
ACKNOWLEDGMENT This work was funded by the ERC Consolidator Grant 4DRepLy (770784) and the Deutsche Forschungsgemeinschaft (Project Nr. 409792180, Emmy Noether Programme, project: Real Virtual Humans). ...
arXiv:2111.10563v1
fatcat:pkwf5736rje43ihu7pmkjjggly
Reconstruction of People in Loose Clothing
[article]
2021
arXiv
pre-print
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3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains. ...
In this paper, we propose SHARP, a novel end-to-end trainable network that accurately recovers the detailed geometry and appearance of 3D people in loose clothing from a monocular image. ...
Conclusion We introduced a novel shape-aware peeled representation for the reconstruction of human bodies with loose clothing. ...
arXiv:2106.04778v3
fatcat:5as3byi76ve5tez6qzio3mwb7y
M3D-VTON: A Monocular-to-3D Virtual Try-On Network
[article]
2021
arXiv
pre-print
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In this paper, we propose a novel Monocular-to-3D Virtual Try-On Network (M3D-VTON) that builds on the merits of both 2D and 3D approaches. ...
a faster alternative to manipulate clothed humans, but lack the rich and realistic 3D representation. ...
Compared to the tasks of 3D human reconstruction and performance capturing [54, 14, 11, 39, 53, 24, 36, 26, 21, 1] , 3D virtual try-on is more challenging due to the complex deformation of clothes. ...
arXiv:2108.05126v1
fatcat:ynvnzx7y7fgjncxm4urwll7hiy
Deep Learning-Based Human Pose Estimation: A Survey
[article]
2022
arXiv
pre-print
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The goal of this survey paper is to provide a comprehensive review of recent deep learning-based solutions for both 2D and 3D pose estimation via a systematic analysis and comparison of these solutions ...
Although the recently developed deep learning-based solutions have achieved high performance in human pose estimation, there still remain challenges due to insufficient training data, depth ambiguities ...
Clothes parsing [270] [210] and pose transfer [129] make it possible by inferring the 3D appearance of a person wearing a specific clothes. ...
arXiv:2012.13392v4
fatcat:ypnqtq3sbncr5fuujif2dhqwji
Recovering 3D Human Mesh from Monocular Images: A Survey
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.01923v1 fatcat:lxg7tokzyjfkrirf6dkatzih2m
To the best of our knowledge, this is the first survey to focus on the task of monocular 3D human mesh recovery. ...
Estimating human pose and shape from monocular images is a long-standing problem in computer vision. ...
Scope This survey mainly focuses on approaches to monocular 3D human mesh recovery in the deep learning era. ...
arXiv:2203.01923v2
fatcat:vb6xa5wdsrhdxd2ebvg54qq2m4
3D Human Shape Reconstruction from a Polarization Image
[article]
2020
arXiv
pre-print
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This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. ...
shape of clothing details. ...
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
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
[article]
2019
arXiv
pre-print
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2018 pre-print arXiv:1803.10193v1 fatcat:n5tldesysnat3owfapjxskybry
In this work, we propose a new hybrid approach for monocular non-rigid reconstruction which we call Hybrid Deformation Model Network (HDM-Net). ...
Monocular dense 3D reconstruction of deformable objects is a hard ill-posed problem in computer vision. ...
We propose the first, to the best of our knowledge, deep neural network (DNN) based deformation model for MNR. ...
arXiv:1803.10193v2
fatcat:szrra6fw6vat5m7y7gjulzoiya
3D Morphable Models (Dagstuhl Seminar 19102)
2019
Dagstuhl Reports
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It was a first specific meeting of a broader group of people working with 3D Morphable Models of faces and bodies. ...
This meeting of 26 researchers was held 20 years after the seminal work was published at Siggraph. We summarize the discussions, presentations and results of this workshop. ...
Using our work on monocular face performance capture, I discuss several classes of algorithms developed for models of the world in motion from a single color camera. ...
doi:10.4230/dagrep.9.3.16
dblp:journals/dagstuhl-reports/EggerSTV19
fatcat:rt7gzigv3rfhjez2iswdejjpwa
VR content creation and exploration with deep learning: A survey
2020
Computational Visual Media
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This article surveys recent research that uses such deep learning methods for VR content creation and exploration. ...
Intelligence of VR methods and applications has been significantly boosted by the recent developments in deep learning techniques. ...
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61902012, 61932003). Fang-Lue Zhang was supported by a Victoria Early-Career Research Excellence Award. ...
doi:10.1007/s41095-020-0162-z
fatcat:lgogzx26bvhn5f7uyefjkz7zny
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. ...
We show that, by both encoding query points and constraining global shape using latent voxel features, the reconstruction we obtain for clothed human meshes exhibits less shape distortion and improved ...
Recently, deep implicit modeling techniques delivered a step change in 3D reconstruction of clothed human meshes from monocular images. ...
arXiv:2006.08072v2
fatcat:7qbnswptdfapzh2e5bxygvrsgy
Modern Augmented Reality: Applications, Trends, and Future Directions
[article]
2022
arXiv
pre-print
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We then give an overview of around 100 recent promising machine learning based works developed for AR systems, such as deep learning works for AR shopping (clothing, makeup), AR based image filters (such ...
Although it has been around for nearly fifty years, it has seen a lot of interest by the research community in the recent years, mainly because of the huge success of deep learning models for various computer ...
ACKNOWLEDGMENTS We would like to thank Iasonas Kokkinos, Qi Pan, Lyric Kaplan, and Liz Markman for reviewing this work, and providing very helpful comments and suggestions. ...
arXiv:2202.09450v2
fatcat:x436ycnvxnhdpfdvhnxkzgbqce
Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2104.08013v2 fatcat:mokpnriqrzgnviataz2zdv3gviOther Versions
We propose a data-driven end-to-end approach that reconstructs an implicit 3D representation of dressed humans from sparse camera views. ...
Specifically, we introduce three key components: first a spatially consistent reconstruction that allows for arbitrary placement of the person in the input views using a perspective camera model; second ...
Acknowledgements We thank Laurence Boissieux and Julien Pansiot from the Kinovis platform at Inria Grenoble and our volunteer subjects for help with the 3D data acquisition. ...
arXiv:2104.08013v4
fatcat:vcvpmekukbehndo7iy7muv2yoa
Real-time Deep Dynamic Characters
[article]
2021
arXiv
pre-print
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During training, we do not need to resort to difficult dynamic 3D capture of the human; instead we can train our model entirely from multi-view video in a weakly supervised manner. ...
We show that by merely providing new skeletal motions, our model creates motion-dependent surface deformations, physically plausible dynamic clothing deformations, as well as video-realistic surface textures ...
ACKNOWLEDGMENTS All data captures and evaluations were performed at MPII by MPII. ...
arXiv:2105.01794v1
fatcat:q34njck5pffd3lryvzk2psxmoq
Monocular human pose estimation: A survey of deep learning-based methods
2020
Computer Vision and Image Understanding
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2020 pre-print arXiv:2006.01423v1 fatcat:4fxoc4zfanhw7enfubmzbuye3q
Vision-based monocular human pose estimation, as one of the most fundamental and challenging problems in computer vision, aims to obtain posture of the human body from input images or video sequences. ...
The recent developments of deep learning techniques have been brought significant progress and remarkable breakthroughs in the field of human pose estimation. ...
Yucheng Chen's contribution was made when he was a visiting student at the City University of New York, sponsored by the Chinese Scholarship Council. ...
doi:10.1016/j.cviu.2019.102897
fatcat:7gf3exlfgrax7dnxrmv2pphzvy
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