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Unsupervised Image-to-Video Clothing Transfer
AbstractWe present a system to photo-realistically transfer the clothing of a person in a reference image into another person in an unconstrained image or video. Our architecture is based on a GAN equipped with a physical memory that updates an initially incomplete texture map of the clothes that is progressively completed with the new inferred occluded parts. The system is trained in an unsupervised manner. The results are visually appealing and open the possibility to be used in the future as a quick virtual try-on clothing system.
Related Material
[pdf][bibtex]@InProceedings{Pumarola_2019_ICCV,
author = {Pumarola, Albert and Goswami, Vedanuj and Vicente, Francisco and De la Torre, Fernando and Moreno-Noguer, Francesc},
title = {Unsupervised Image-to-Video Clothing Transfer},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
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