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Title:Načrtovanje grafičnega uporabniškega vmesnika za mobilno aplikacijo : diplomska naloga
Authors:ID Lorber, Janže (Author)
ID Zupančič, Peter (Mentor) More about this mentor... New window
Files:.pdf RAZ_Lorber_Janze_i2023.pdf (4,00 MB)
MD5: AB93D37928A1F55FF154C10B3C20FDF2
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:V diplomskem delu obravnavamo generatorje z umetno inteligenco z več vidikov. Naloga je razdeljena na dva dela. V prvem delu je opisano delovanje generatorjev slik iz besedila (ang. Text-to-image generators) in podrobneje generatorja Stable Diffusion. Predstavljen je tudi praktični primer treniranja oz. globokega učenja modela Stable Diffusion na naši učni množici slik in opisov. V drugem delu sta opisana teoretična opredelitev izdelave uporabniških vmesnikov in izdelava optimalnega uporabniškega vmesnika hipotetične mobilne aplikacije za generiranje filmov s pomočjo umetne inteligence z aplikacijo za oblikovanje vmesnikov Figma.
Keywords:text-to-image generator, globoko učenje, Stable Diffusion, umetna inteligenca, načrtovanje uporabniškega vmesnika, uporabniška izkušnja, Figma
Place of publishing:Novo mesto
Place of performance:Novo mesto
Publisher:[J. Lorber]
Year of publishing:2023
Year of performance:2023
Number of pages:XV, 69 str.
PID:20.500.12556/ReVIS-10429 New window
COBISS.SI-ID:189247491 New window
UDC:004.92:004.8(043.2)
Note:Na ov.: Diplomska naloga : visokošolskega strokovnega študijskega programa prve stopnje;
Publication date in ReVIS:18.03.2024
Views:931
Downloads:43
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Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:18.03.2024

Secondary language

Language:English
Abstract:The thesis deals with generators with artificial intelligence from several aspects. The task is divided into two parts on the grave. The first part describes the operation of text-to-image generators and the Stable Diffusion generator in more detail. A practical example of training or deep learning Stable Diffusion model on our training set of images and descriptions. In the second part, the theoretical definition of creating user interfaces and the creation of an optimal user interface of a hypothetical application for generating mobile movies with the help of artificial intelligence with the online interface design application Figma are described.
Keywords:text-to-image generator, deep learning, Stable Diffusion, artificial intelligence, user interface design, user experience, Figma


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