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master's thesis
Primjena generativnih suparničkih mreža na generiranje slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:191099
Banović, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Banović, L. (2020). Primjena generativnih suparničkih mreža na generiranje slika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:191099

Banović, Luka. "Primjena generativnih suparničkih mreža na generiranje slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:191099

Banović, Luka. "Primjena generativnih suparničkih mreža na generiranje slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:191099

Banović, L. (2020). 'Primjena generativnih suparničkih mreža na generiranje slika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:191099

Banović L. Primjena generativnih suparničkih mreža na generiranje slika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:191099

L. Banović, "Primjena generativnih suparničkih mreža na generiranje slika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:191099

Metadata
TitlePrimjena generativnih suparničkih mreža na generiranje slika
Title (english)Application of Generative Adversarial Networks on Image Generation
AuthorLuka Banović
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
Committee memberDomagoj Jakobović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Generativne suparničke mreže moćna su klasa dubokih modela i vrlo aktivno područje istraživanja. U ovom radu predstavljamo njihov osnovni koncept te iznosimo ideju iza generativnih modela općenito. Budući da se model u najširem smislu temelji na suradnji između dvije duboke neuronske mreže, na visokoj razini pojašnjavamo kako i one funkcioniraju. Iznosimo i uobičajeno korištene osnovne slojeve neuronskih mreža korištenih mreža te pregled dosadašnjeg rada. I za kraj, pokazujemo implementaciju generativnih suparničkih mreža temeljenih na progresivnom rastu i njihovu primjenu pri generiranju slika ljudskih lica koristeći skup podataka CelebA rezolucije 64 x 64 te vrednujemo rezultate.
Abstract (english)
Generative adversarial networks are a powerful class of deep learning models and a particularly active field of research. In this work, we present the basic idea of generative models and the concept of generative adversarial networks. Since this model is, in the broadest sense, based on the cooperation of two neural networks, we present a broad overview of this concept as well. We note the neural layers usually used in such a system and the work done so far. Finally, we implement a variant of this concept based on progressive growing and apply it to generation of images of human faces of 64 x 64 resolution using the CelebA dataset and evaluate our results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:191099
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 09:43:46