Publication
Unsupervised image-to-video clothing transfer
Conference Article
Conference
ICCV Workshop on Computer Vision for Fashion, Art and Design (ICCVW-CVFAD)
Edition
2019
Pages
3181-3184
Doc link
https://doi.org/10.1109/ICCVW.2019.00394
File
Authors
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Pumarola Peris, Albert
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Goswami, Vedanuj
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Vicente, Francisco
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de la Torre, Fernando
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Moreno Noguer, Francesc
Abstract
We 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.
Categories
computer vision.
Author keywords
Cloth transfer, gan, people, memory
Scientific reference
A. Pumarola, V. Goswami, F. Vicente, F. de la Torre and F. Moreno-Noguer. Unsupervised image-to-video clothing transfer, 2019 ICCV Workshop on Computer Vision for Fashion, Art and Design, 2019, Seoul, pp. 3181-3184.
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