LogoGAN: Creating Logos with Generative Adversarial Networks | Workshop Capstone

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Personalization is a powerful way to enrich costumer experience by creating emotional connection and loyalty to a particular product. Matching personalization with costumer diversity is a challenge due to limited ways of expression, words/numbers (initials, dates, etc). Human-generated logos is not scalable solution. The personalized gifts (non photo) market in US is expected to be worth USD 2.36B by 2022 while Logo cost varies begin at 2$ (mid-range 20$). Automatic generation of unique logos through LogoGAN can be incorporated into customization pipeline to enable users to quickly and easily.



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Tags:
deep learning
machine learning
generative adversarial networks
GAN
logo
personalization