A Generative Adversarial Network approach using Latent Space Manipulation for Clothing Display on Synthetic Images Using the latent space of an non-p…

2020

Master's thesis in Information- and communication technology (IKT590) The Fashion industry is continuously inventing new clothing. A significant bottleneck when introducing newly designed clothing to the market is advertisements. This thesis looks into the possibility of streamlining this bottleneck through the automated manipulation of clothing onto generated humans. A common problem in Generative Adversarial Networks (GAN) is the black-box nature of the generated re-sults. Meaning a user has no direct input on the traits of images produced. GANs are capable of exceptional levels of "creativity" when utilizing its generator to create novel results. For instance, it is possible to project a…