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Fashion recommendation has witnessed a phenomenal growth of research,particularly in the domains of shop-the-look, contextaware outfit creation,personalizing outfit creation etc. Majority of the work in this area focuses onbetter understanding of the notion of complimentary relationship betweenlifestyle items. Quite recently, some works have realised that style plays avital role in fashion, especially in the understanding of compatibilitylearning and outfit creation. In this paper, we would like to present theend-to-end design of a methodology in which we aim to generate outfits guidedby styles or themes using a novel style encoder network. We present anextensive analysis of different aspects of our method through variousexperiments. We also provide a demonstration api to showcase the ability of ourwork in generating outfits based on an anchor item and styles.

An Application to Generate Style Guided Compatible Outfit