Neuroaesthetics in Fashion

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Being able to understand and model fashion can have a great impact in everyday life. In this work we focus on building models that are able to discover and understand fashion. For this purpose we have created the Fashion144k dataset, consisting of 144,169 user posts with images and their associated metadata. We propose the challenging task of identifying the fashionability of the posts and present a Conditional Random Field model that is not only able to predict fashionability, but it is also able to give fashion advice to the users.

For related work, see our work on parsing clothing in images.

More information coming soon…

In the News

I am keeping a bit of track of where this is being reported. Below is a list of places that are talking about our research. Please note that these are for reference only. If you are actually interested in what we do, please read our paper.

Selected News

News and Tech Websites

Fashion Magazines (Online)

International News

Television and Radio

Publications

2015

  • Neuroaesthetics in Fashion: Modeling the Perception of Fashionability
    • Neuroaesthetics in Fashion: Modeling the Perception of Fashionability
    • Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun
    • Conference in Computer Vision and Pattern Recognition (CVPR), 2015