I. Introduction
The fashion retail industry is going through a rapid transition from brick and mortar stores to e-commerce platforms [1]. Online fashion shops typically showcase products using neutral garment images and images of a single model wearing the garment. In this framework shoppers cannot mix & match garment combinations nor visualize outfits on themselves [2]. A virtual dressing room could restore this experience and significantly increase user-engagement and conversion rates [3]. However, traditional methods for enabling virtual try-on are expensive – often requiring 3D models, 3D garments, or special images for every item. A significant body of recent research investigates image-based virtual try-on [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21].