20.500.12556/RUL-152718 Napovedovanje obrazov staršev na podlagi obrazov njihovih otrok Predicting images of parents’ faces based on images of childrens’ faces V tej diplomski nalogi bomo najprej opisali problem napovedovanja in generiranja slik obrazov staršev na podlagi slik otrok. Na kratko bomo predstavili razvite metode ChildGAN, KinshipGAN in DNA-Net, ki delujejo na podobnih principih, vendar so razvite za problem napovedovanja in generiranja slik obrazov otrok na podlagi slik obrazov njihovih staršev. Razvili bomo lastno metodo napovedovanja obrazov staršev na podlagi skupne implementacije. Dodali smo novo zbirko podatkov PPLDB, ki dopolnjuje NOKDB, tako da omogoča dodajanje poljubnih slik otrok, katerim lahko napovemo obraze staršev. In this thesis, we will first describe the problem of predicting and generating images of parents' faces from images of their children. We will briefly introduce the already developed methods ChildGAN, KinshipGAN and DNA-Net, which work on similar principles but are developed for the problem of predicting and generating images of childrens' faces based on images of parents' faces. We will develop our own method for predicting parents' faces based on a common implementation. We have added a new database, PPLDB, which complements NOKDB by allowing to add arbitrary child images to which we can predict faces of their parents. napovedovanje slik obrazov GAN StyleGAN PyTorch ChildGAN KinshipGAN DNA-Net Families In The Wild linearna regresija napovedni modeli genetika face image prediction GAN StyleGAN PyTorch ChildGAN KinshipGAN DNA-Net Families In The Wild linear regression prediction models genetics true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2023-12-04 15:51:53 2023-12-04 15:51:53 2024-01-29 11:12:20 0000-00-00 00:00:00 2023 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 36712 165501955 Potocnik_Vid_-_Napovedovanje_obrazov_starsev_na_podlagi_obrazov_njihovih_otrok.pdf Potocnik_Vid_-_Napovedovanje_obrazov_starsev_na_podlagi_obrazov_njihovih_otrok.pdf 1 000B683609425B713BDBF15A9E6C7FBE 1ac34fd7f4605e0db7c740c7719f5c3825ca4aafa2a3d98548c09883c60df4d0 aa4df519-92b4-11ee-9ca9-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=178332 Fakulteta za računalništvo in informatiko 0 0 0