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Bc. Jakub Oršula

Bachelor's thesis

Product package generator using GAN

Product package generator using GAN
Abstract:
Preskúmajte možnosti programatického generovania balení kozmetických produktov pomocou GAN. Na vyriešenie tohto problému implementujte 2 rôzne varianty GAN. Porovnajte výsledky vybraných algoritmov. Diskutujte o nevýhodách a výhodách používania prístupu strojového učenia v porovnaní s tradičným procesom.
Abstract:
Explore possibilities to programmatically generate product packages of cosmetic products using generative adversarial networks. Implement 2 different variants of GAN to solve this problem. Compare results of selected algorithms. Discuss cons and pros of using the machine learning approach compared to the traditional process.
 

Keywords

artificial intelligence generative adversarial networks Lasaris machine learning Python image processing image generation
 
Language used: English
Date on which the thesis was submitted / produced: 16. 12. 2021
Identifier: https://is.muni.cz/th/o4jhz/

Thesis defence

  • Date of defence: 10. 2. 2022
  • Supervisor: Ing. Lukáš Grolig
  • Reader: Ing. Jakub Orság

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