6.1k citations · 6.5k across the 16 of their papers we have counts for
Showing 2016Show all
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cs.CV2016★ 107 cited
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev, Urs Bergmann, Roland Vollgraf
Generative adversarial networks (GANs) are a recent approach to train generative models of data, which have been shown to work particularly well on image data. In the current paper…
cs.IR2016★ 35 cited
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Christian Bracher, Sebastian Heinz, Roland Vollgraf
We present a method to determine Fashion DNA, coordinate vectors locating fashion items in an abstract space. Our approach is based on a deep neural network architecture that inges…