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We present a novel approach that constructs 3D virtual garment models from photos.
Free-form deformation of solid geometric models
T. W. Sederberg and S. R. Parry · 1986
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Design automation for customized apparel products
C. C. L. Wang, Y. Wang, and M. M. F. Yuen · 2004
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Virtual garments: A fully geometric approach for clothing design
P. Decaudin, D. Julius, J. Wither, L. Boissieux, A. Sheffer, and M.-P. Cani · 2006
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Image deformation using moving least squares
S. Schaefer, T. McPhail, and J. Warren · 2006
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Capturing and animating occluded cloth
R. White, K. Crane, and D. A. Forsyth · 2007
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Markerless garment capture
D. Bradley, T. Popa, A. Sheffer, W. Heidrich, and T. Boubekeur · 2008
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Pictorial structures revisited: People detection and articulated pose estimation
M. Andriluka, S. Roth, and B. Schiele · 2009
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Flexible shape control for automatic resizing of apparel products
Y. Meng, C. C. L. Wang, and X. Jin · 2010
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Context-aware garment modeling from sketches
C. Robson, R. Maharik, A. Sheffer, and N. Carr · 2011
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Berkeley Garment Library, 2012
J. M. de Joya, R. Narain, J. F. O’Brien, A. Samii, and V. Zordan · 2012
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Exploring the spatial hierarchy of mixture models for human pose estimation
Y. Tian, C. L. Zitnick, and S. G. Narasimhan · 2012
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Parsing sewing patterns into 3d garments
F. Berthouzoz, A. Garg, D. M. Kaufman, E. Grinspun, and M. Agrawala · 2013
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Pose machines: Articulated pose estimation via inference machines
V. Ramakrishna, D. Munoz, M. Hebert, J. Andrew Bagnell, and Y. Sheikh · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Garment modeling with a depth camera
X. Chen, B. Zhou, F. Lu, L. Wang, L. Bi, and P. Tan · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Fashion landmark detection in the wild
Z. Liu, S. Yan, P. Luo, X. Wang, and X. Tang · 2016
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Convolutional pose machines
S. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Detailed human avatars from monocular video
T. Alldieck, M. Magnor, W. Xu, C. Theobalt, and G. Pons-Moll · 2018
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Video based reconstruction of 3d people models
T. Alldieck, M. Magnor, W. Xu, C. Theobalt, and G. Pons-Moll · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Instance-level human parsing via part grouping network
K. Gong, X. Liang, Y. Li, Y. Chen, M. Yang, and L. Lin · 2018
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Viton: An image-based virtual try-on network
X. Han, Z. Wu, Z. Wu, R. Yu, and L. S. Davis · 2018
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Look into person: Joint body parsing & pose estimation network and a new benchmark
X. Liang, K. Gong, X. Shen, and L. Lin · 2018
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Deepgarment: 3d garment shape estimation from a single image
R. Danźr̆ek, E. Dibra, C. Öztireli, R. Ziegler, and M. Gross · 2017
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Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
I. Kokkinos · 2017
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A generative model of people in clothing
C. Lassner, G. Pons-Moll, and P. V. Gehler · 2017
Cited alongside, same era.
Clothcap: Seamless 4d clothing capture and retargeting
G. Pons-Moll, S. Pujades, S. Hu, and M. J. Black · 2017
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Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition
R. Ranjan, V. M. Patel, and R. Chellappa · 2017
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Unconstrained fashion landmark detection via hierarchical recurrent transformer networks
S. Yan, Z. Liu, P. Luo, S. Qiu, X. Wang, and X. Tang · 2017
Cited alongside, same era.
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Dense pose transfer
N. Neverova, R. Alp Guler, and I. Kokkinos · 2018
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Learning a shared shape space for multimodal garment design
T. Y. Wang, D. Ceylan, J. Popovic, and N. J. Mitra · 2018
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Physics-inspired garment recovery from a single-view image
S. Yang, T. Ambert, Z. Pan, K. Wang, L. Yu, T. L. Berg, and M. C. Lin · 2018
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DoubleFusion: Real-time capture of human performances with inner body shapes from a single depth sensor
T. Yu, Z. Zheng, K. Guo, J. Zhao, Q. Dai, H. Li, G. Pons-Moll, and Y. Liu · 2018
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Learning to reconstruct people in clothing from a single RGB camera
T. Alldieck, M. Magnor, B. L. Bhatnagar, C. Theobalt, and G. Pons-Moll · 2019
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LiveCap: Real-time human performance capture from monocular video
M. Habermann, W. Xu, M. Zollhöfer, G. Pons-Moll, and C. Theobalt · 2019
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SiCloPe: Silhouette-based clothed people
R. Natsume, S. Saito, W. C. Zeng Huang, C. Ma, H. Li, and S. Morishima · 2019
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SimulCap : Single-view human performance capture with cloth simulation
T. Yu, Z. Zheng, Y. Zhong, J. Zhao, Q. Dai, G. Pons-Moll, and Y. Liu · 2019
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