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Image warping for retargeting garments among arbitrary poses

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Abstract

We address the problem of warping 2D images of garments onto target mannequins of arbitrary poses. The motivation for this work is to enable an online shopper to drag and drop selected articles of clothing onto a single mannequin to configure and visualize outfits. Such a capability requires each garment to be available in a pose that is consistent with the target mannequin. A 2D deformation system is proposed, which enables a designer to quickly deform images of clothing onto a target shape with both fine and coarse controls over the deformation. This system has retargeted thousands of images for retailers to establish virtual dressing rooms for their online customers.

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Authors and Affiliations

  1. Brainstorm Technology LLC, New York, USA

    Hadi Fadaifard

  2. City College of New York, City University of New York, New York, USA

    George Wolberg

Authors
  1. Hadi Fadaifard
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  2. George Wolberg
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Correspondence to George Wolberg.

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Fadaifard, H., Wolberg, G. Image warping for retargeting garments among arbitrary poses. Vis Comput 29, 525–534 (2013). https://doi.org/10.1007/s00371-013-0816-2

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  • DOI: https://doi.org/10.1007/s00371-013-0816-2

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