Unsupervised Image-to-Video Clothing Transfer

Albert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer

ICCVW 2019 pp. 3181-3184

doi:10.1109/ICCVW.2019.00394 /iccvw/2019/pumarola2019iccvw-unsupervised/

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.

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Cite

Text

Pumarola et al. "Unsupervised Image-to-Video Clothing Transfer." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00394

Markdown

[Pumarola et al. "Unsupervised Image-to-Video Clothing Transfer." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/pumarola2019iccvw-unsupervised/) doi:10.1109/ICCVW.2019.00394

BibTeX

@inproceedings{pumarola2019iccvw-unsupervised,
  title     = {{Unsupervised Image-to-Video Clothing Transfer}},
  author    = {Pumarola, Albert and Goswami, Vedanuj and Vicente, Francisco and De la Torre, Fernando and Moreno-Noguer, Francesc},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2019},
  pages     = {3181-3184},
  doi       = {10.1109/ICCVW.2019.00394},
  url       = {https://mlanthology.org/iccvw/2019/pumarola2019iccvw-unsupervised/}
}