AFRIGAN: African Fashion Style Generator using Generative Adversarial Networks(GANs)
Wuraola Oyewusi · Olubayo Adekanmbi
Abstract
Afrocentric fashion images suitable for machine learning tasks are not well represented in open datasets. In this work we present AFRIGAN, a generative adversarial model for contemporary african fashion images. AFRIGAN can be leveraged as a tool for realistic image data synthesis, design iteration and experimentation for contemporary African fashion styles. This model is openly available
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