diplomsko delo
Sergej Matek (Author), Franc Solina (Mentor), Sebastian Korenič Tratnik (Co-mentor)

Abstract

Dandanes je mnogo stvari v vsakdanjem življenju generiranih z uporabo umetne inteligence, ne da bi se zavedali ali zavedali, kako deluje. Poglobili se bomo v analizo in razvoj tehnologije družine StyleGAN, generacijo fotografij in videov z njo in uporabo rešitev, ki temeljijo na StyleGAN tehnologiji. Uporabljeni bodo odprtokodni modeli GAN, ki jih lahko najdemo v repozitorijih Nvidie z vnaprej naučenimi modeli.

Keywords

GAN;Style-GAN;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [S. Matek]
UDC: 004.8(043.2)
COBISS: 165604611 Link will open in a new window
Views: 43
Downloads: 9
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Other data

Secondary language: English
Secondary title: Between the transfer and generation of facial style
Secondary abstract: Nowadays many things in everyday life are generated using artificial intelligence without most of us knowing or knowing how it works. We will delve into analyzing the development of the StyleGAN family, the generation of images, videos and existing solutions based on StyleGAN technology. We will use the open-source GAN models found in Nvidia's repositories using pre-trained models
Secondary keywords: artificial intelligence;neural networks;GAN;StyleGAN;computer science;diploma;Umetna inteligenca;Nevronske mreže (računalništvo);Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 66 str.
ID: 19912985