“Real-time Image-based Virtual Try-on with Measurement Garment” – ACM SIGGRAPH HISTORY ARCHIVES

“Real-time Image-based Virtual Try-on with Measurement Garment”

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Title:


    Real-time Image-based Virtual Try-on with Measurement Garment

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Description:


    We propose a robust real-time Image-based virtual try-on system. We formulate the problem as a supervised image-to-image translation problem using a measurement garment, and we capture the training data with a custom actuated mannequin. The user only needs to wear a measurement garment to try on many different target garments.

References:


    [1]
    anonymous. 2021. Per Garment Capture and Synthesis for Real-time Virtual Try-on. In Proceedings of the 34rd Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, New York, NY, USA.
    Google Scholar
    [2]
    Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis. 2018. Viton: An image-based virtual try-on network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7543–7552.
    Crossref
    Google Scholar
    [3]
    Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black. 2015. SMPL: A skinned multi-person linear model. ACM transactions on graphics (TOG) 34, 6 (2015), 248.
    Google Scholar
    [4]
    Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, and Ping Luo. 2020. Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
    Crossref
    Google Scholar


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