Fashion Design Generation with Generative Adversarial Networks

Fashion Design Generation with Generative Adversarial Networks

We will explore GANs and their ability to generate and manipulate fashion designs. Using GANs, we will discover interpretable directions in fashion design such as changing neck type, or sleeve type for particular images, and personalize fashion designs in latent space.

 

Project Advisor: 

Pınar Yanardağ

Project Status: 

Project Year: 

2022
  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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