Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
This addresses fashion editing for designers or consumers, but it appears incremental as it builds on an existing method (AttGAN) for a new domain-specific application.
The paper tackles the problem of attribute-aware fashion editing by proposing Fashion-AttGAN, a model that redefines objectives from AttGAN for this new task, and shows effectiveness over the original AttGAN in experiments.
In this paper, we introduce attribute-aware fashion-editing, a novel task, to the fashion domain. We re-define the overall objectives in AttGAN and propose the Fashion-AttGAN model for this new task. A dataset is constructed for this task with 14,221 and 22 attributes, which has been made publically available. Experimental results show the effectiveness of our Fashion-AttGAN on fashion editing over the original AttGAN.