“Real-time Image-based Virtual Try-on with Measurement Garment”
Conference:
Experience Type(s):
Title:
- Real-time Image-based Virtual Try-on with Measurement Garment
Organizer(s)/Presenter(s):
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]
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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


