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Napovedovanje obrazov otrok z GAN metodo
ID ŠUKLJE, NEJC (Author), ID Šajn, Luka (Mentor) More about this mentor... This link opens in a new window

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Abstract
Diplomska naloga z naslovom ”Napovedovanje slik otrok obrazov z GAN metodo”ˇze na prvi pogled vzbudi motivacijo, ker je potencialni rezultat zanimiv. GAN metoda je tudi dokaj nova stvar, kar vse skupaj naredi ˇse bolj zanimivo, saj ni veliko raziskav, v katerih je uporabljena. Na problem lahko pogledamo tudi s strani ”kupca”, torej nekoga, ki bi rad videl sliko svojega potencialnega otroka. Po mojem mnenju stvar, ki bi na trgu doˇzivela porast, ˇse posebej v bogatejˇsem sloju prebivalstva. Ceprav je raziskav na to temo malo, bodo ˇ vseeno pomagala pri izdelavi naloge. Morda toliko bolj, ker bo moˇzno bolj podrobno predelati podroˇcje. Programerski del bo napisan v programskem jeziku python. Na koncu bomo analizirali rezultate in naredili primerjavo z dejanskimi slikami obrazov otrok in ocenili uspeh. Poiskali bomo tudi toˇcke, ki bi se jih dalo izboljˇsati, da bi bil izdelek ˇse boljˇsi in uporabnejˇsi.

Language:Slovenian
Keywords:grebenska regresija, latentni prostor, GAN, generiranje obrazov
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2022
PID:20.500.12556/RUL-143466 This link opens in a new window
COBISS.SI-ID:135339267 This link opens in a new window
Publication date in RUL:22.12.2022
Views:382
Downloads:134
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Secondary language

Language:English
Title:Predicting children faces with GAN method
Abstract:
The diploma thesis entitled ”Prediction of images of children’s faces using the GAN method” arouses motivation at first sight, because the potential result is interesting. The GAN method is also a fairly new thing, which makes it all the more interesting because there is not much research in which it is used. We can also look at the problem from the side of the ”buyer”, that is someone who would like to see a picture of their potential child. In my opinion, a thing that would see an increase in the market, especially in the wealthier population. Although there is little research on this topic, they will still help in making the assignment. Perhaps even more so because it will be possible to rework the area in more detail. The programming part will be written in the python programming language. Finally, we will analyze the results and make a comparison from real images of children and evaluate the success. We will also look for points that could be improved to make the product even better and more useful.

Keywords:ridge regression, latent space, GAN, generation of faces

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