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

Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

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.

Related Material


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[bibtex]
@InProceedings{Ping_2019_CVPR_Workshops,
author = {Ping, Qing and Wu, Bing and Ding, Wanying and Yuan, Jiangbo},
title = {Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}