prikaz prve stranice dokumenta Generativna suparnička mreža za izradu umjetničkih slika
  Download
PDF 4.08 MB
master's thesis
Generativna suparnička mreža za izradu umjetničkih slika
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:350086
Mlakić, Marko
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Mlakić, M. (2023). Generativna suparnička mreža za izradu umjetničkih slika (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:350086

Mlakić, Marko. "Generativna suparnička mreža za izradu umjetničkih slika." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:350086

Mlakić, Marko. "Generativna suparnička mreža za izradu umjetničkih slika." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:350086

Mlakić, M. (2023). 'Generativna suparnička mreža za izradu umjetničkih slika', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:350086

Mlakić M. Generativna suparnička mreža za izradu umjetničkih slika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:350086

M. Mlakić, "Generativna suparnička mreža za izradu umjetničkih slika", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:350086

Metadata
TitleGenerativna suparnička mreža za izradu umjetničkih slika
Title (english)A generative adversarial network for artistic images creation
AuthorMarko Mlakić
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-12-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Rad se bavi razvojem računalnog modela zasnovanog na metodologiji generativnih suparničkih mreža (poznato i kao GAN) za stvaranje umjetničkih slika. Model je treniran na određenom skupu podataka te je uspješan u generiranju slika stilova različitih umjetnika. U radu su detaljno opisani tehnički aspekti modela, uključujući arhitektura generatora i diskriminatora. Također je opisana strategija učenja GAN-a te izazovi (kao i rješenja) koji su se događali tijekom procesa. Dodatno je model testiran s pomoću maksimalne prosječne razlike, koja je služila kao evaluacijska metrika radi provjere učinkovitosti i preciznosti generativnog modela. Dio projekta uključuje i razvoj „web“ stranice koja služi kao platforma za interakciju s modelom. „Web“ stranica sadrži korisničko sučelje za učitavanje slika i pružanje povratnih informacija o generiranim slikama.
Abstract (english)
The paper focuses on developing a computational model based on the methodology of generative adversarial networks (also known as GAN) for creating artistic paintings. The model was trained on a specific dataset and is successful in generating images in the style of various artists. The paper details the technical aspects of the model, including the architecture of the generator and discriminator. It also describes the GAN learning strategy for the assigned task, as well as the challenges and solutions encountered during the process. Additionally, the model was tested using the maximum mean discrepancy, which served as an evaluation metric to check the effectiveness and precision of the generative model. Part of the project also includes the development of a website that serves as a platform for interacting with the model. The website contains a user interface for uploading images and providing feedback on the generated images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:350086
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-11-30 15:21:26