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undergraduate thesis
Učenje modela za prevođenje crteža u slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:698142
Panić, Iva
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Panić, I. (2021). Učenje modela za prevođenje crteža u slike (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:698142

Panić, Iva. "Učenje modela za prevođenje crteža u slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:698142

Panić, Iva. "Učenje modela za prevođenje crteža u slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:698142

Panić, I. (2021). 'Učenje modela za prevođenje crteža u slike', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:698142

Panić I. Učenje modela za prevođenje crteža u slike [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:698142

I. Panić, "Učenje modela za prevođenje crteža u slike", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:698142

Metadata
TitleUčenje modela za prevođenje crteža u slike
Title (english)Training models for translating sketches into images
AuthorIva Panić
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
Committee memberIvan Grubišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj završni rad obuhvaća teoretsku razradu osnova dubokog učenja, poput neuronskih mreža, njihovih arhitektura i postojećih algoritama. Razrađuje se pojam generativnog suparničkog modela i predstavlja problem prevođenja crteža u sliku, kao i primjene generativnih modela u tom području. Opisana je arhitektura modela pix2pix te prikazani su eksperimentalni rezultati nekoliko konfiguracija modela. Spomenuta je korištena programska potpora.
Abstract (english)
This thesis includes a theoretical elaboration of the basics of deep learning, such as neural networks, their architectures and existing algorithms. It elaborates the concept of generative adversarial networks and represents the problem of translating sketches into images, as well as the applications of generative models in this area. The architecture of the pix2pix model is described and the experimental results of several model configurations are presented. Used software support is mentioned.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:698142
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 21:20:52