ML Anthology

Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN

Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
CVPRW 2019 pp. 323-325
doi:10.1109/CVPRW.2019.00044 /cvprw/2019/ping2019cvprw-fashionattgan/

Abstract

In this paper, we introduce a novel task, namely attribute-aware fashion-editing, to the fashion domain. A first dataset is constructed for this task with 14,221 images and 22 attributes, which has been made publically available. We re-define the overall objectives in AttGAN and propose the Fashion-AttGAN model to tackle this new task. Experimental results show effectiveness of our Fashion-AttGAN on fashion editing over the original AttGAN.

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Cite

Text

Ping et al. "Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019. doi:10.1109/CVPRW.2019.00044

Markdown

[Ping et al. "Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/ping2019cvprw-fashionattgan/) doi:10.1109/CVPRW.2019.00044

BibTeX

@inproceedings{ping2019cvprw-fashionattgan,
  title     = {{Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN}},
  author    = {Ping, Qing and Wu, Bing and Ding, Wanying and Yuan, Jiangbo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {323-325},
  doi       = {10.1109/CVPRW.2019.00044},
  url       = {https://mlanthology.org/cvprw/2019/ping2019cvprw-fashionattgan/}
}