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FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion
Through experiments on real world data at scale, we demonstrate how our approach is capable of synthesizing visually realistic and diverse fits of fashion items and explore its ability to control fit and shape of images for thousands of online garments.
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