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Most recent garment capturing techniques rely on acquiring multiple views of clothing, which may not always be readily available, especially in the case of pre-existing photographs from the web.
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Igarashi, T · 2005
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Garment motion capture using color-coded patterns
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Moeslund, T. B · 2006
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Goldenthal, R · 2007
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Govindaraju, N. K · 2007
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Bronstein, A. M · 2008
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Berthouzoz, F · 2013
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FashionableShoes · 2013
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Wu, C · 2013
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Paper doll parsing: Retrieving similar styles to parse clothing items
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English, E · 2008
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A closed-form solution to natural image matting
Levin, A · 2008
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Global correspondence optimization for non-rigid registration of depth scans
Li, H · 2008
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A statistical model of human pose and body shape
Hasler, N · 2009
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Wrinkling captured garments using space-time data-driven deformation
Popa, T · 2009
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Tang, M · 2009
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Yamaguchi, K · 2013
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Garment modeling from a single image
Zhou, B · 2013
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High-quality capture of eyes
Bérard, P · 2014
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Recurrent convolutional neural networks for scene labeling
Pinheiro, P. H · 2014
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Semantic parametric reshaping of human body models
Yang, Y · 2014
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Real-time human pose and shape estimation for virtual try-on using a single commodity depth camera
Ye, M · 2014
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Chen, X · 2015
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Hillsweddingdress · 2015
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Garment capture from a photograph
Jeong, M.-H · 2015
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Global e-commerce sales set to grow 25% in 2015
Lindner, M · 2015
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Fully convolutional networks for semantic segmentation
Long, J · 2015
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ModCloth · 2015
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Saaclothes · 2015
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Sigal, L · 2015
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Holistically-nested edge detection
Xie, S · 2015
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Inverse elastic cloth design with contact and friction
Casati, R · 2016
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Global fashion industry statistics - international apparel
FashionUnited · 2016
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