{"id":102454,"date":"2021-12-03T15:36:38","date_gmt":"2021-12-03T13:36:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij"},"modified":"2021-12-03T15:36:38","modified_gmt":"2021-12-03T13:36:42","slug":"hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 adaptace syst\u00e9mu strojov\u00e9ho u\u010den\u00ed StyleGAN pro \u00fapravu obraz\u016f","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Skupina v\u00fdzkumn\u00edk\u016f z Telavivsk\u00e9 univerzity p\u0159edstavila HyperStyle, invertovanou verzi vyv\u00edjen\u00e9ho syst\u00e9mu strojov\u00e9ho u\u010den\u00ed StyleGAN2 od spole\u010dnosti NVIDIA, kter\u00e1 byla p\u0159epracov\u00e1na pro rekonstrukci chyb\u011bj\u00edc\u00edch \u010d\u00e1st\u00ed p\u0159i \u00faprav\u011b re\u00e1ln\u00fdch obr\u00e1zk\u016f. K\u00f3d je naps\u00e1n v jazyce Python s vyu\u017eit\u00edm frameworku PyTorch a je \u0161\u00ed\u0159en pod licenc\u00ed MIT. <\/p>\n

Zat\u00edmco StyleGAN umo\u017e\u0148uje synt\u00e9zu realisticky vypadaj\u00edc\u00edch nov\u00fdch tv\u00e1\u0159\u00ed lid\u00ed nastavov\u00e1n\u00edm parametr\u016f, jako jsou v\u011bk, pohlav\u00ed, d\u00e9lka vlas\u016f, charakter \u00fasm\u011bvu, tvar nosu, barva pleti, br\u00fdle a \u00fahel fotografie, HyperStyle umo\u017e\u0148uje m\u011bnit podobn\u00e9 parametry u ji\u017e existuj\u00edc\u00edch fotografi\u00ed, ani\u017e by se m\u011bnily jejich charakteristick\u00e9 rysy a zachov\u00e1vala se rozpoznatelnost p\u016fvodn\u00ed tv\u00e1\u0159e. Nap\u0159\u00edklad pomoc\u00ed HyperStyle lze simulovat zm\u011bnu v\u011bku \u010dlov\u011bka na fotografii, zm\u011bnit \u00fa\u010des, p\u0159idat br\u00fdle, vousy nebo kn\u00edr, dodat obr\u00e1zku vzhled postavy z kreslen\u00e9ho filmu nebo malby, zm\u011bnit v\u00fdraz tv\u00e1\u0159e na smutn\u00fd nebo vesel\u00fd. Syst\u00e9m m\u016f\u017ee b\u00fdt p\u0159itom vycvi\u010den nejen pro zm\u011bnu tv\u00e1\u0159\u00ed lid\u00ed, ale i pro jak\u00e9koli objekty, nap\u0159\u00edklad pro \u00fapravu obr\u00e1zk\u016f automobil\u016f.

\"HyperStyle<\/center> <\/p>\n

Navrhovan\u00e1 metoda se zam\u011b\u0159uje na \u0159e\u0161en\u00ed probl\u00e9mu rekonstrukce chyb\u011bj\u00edc\u00edch \u010d\u00e1st\u00ed obrazu p\u0159i \u00faprav\u011b. V d\u0159\u00edve navrhovan\u00fdch metod\u00e1ch byl kompromis mezi rekonstrukc\u00ed a editovatelnost\u00ed \u0159e\u0161en jemn\u00fdm lad\u011bn\u00edm gener\u00e1toru obraz\u016f pro substituci \u010d\u00e1st\u00ed c\u00edlov\u00e9ho obr\u00e1zku p\u0159i rekonstrukci p\u016fvodn\u011b chyb\u011bj\u00edc\u00edch editovateln\u00fdch oblast\u00ed. Nev\u00fdhodou t\u011bchto p\u0159\u00edstup\u016f je nutnost prov\u00e1d\u011bt dlouh\u00e9 c\u00edlen\u00e9 \u0161kolen\u00ed neuronov\u00e9 s\u00edt\u011b pro ka\u017ed\u00fd obr\u00e1zek. <\/p>\n

Metoda zalo\u017een\u00e1 na algoritmu StyleGAN umo\u017e\u0148uje vyu\u017e\u00edt typov\u00fd model, p\u0159edem vy\u0161kolen\u00fd na obecn\u00fdch kolekc\u00edch obr\u00e1zk\u016f, k generov\u00e1n\u00ed prvk\u016f, kter\u00e9 odpov\u00eddaj\u00ed p\u016fvodn\u00edmu obr\u00e1zku, s \u00farovn\u00ed p\u0159esnosti srovnatelnou s algoritmy, kter\u00e9 vy\u017eaduj\u00ed individu\u00e1ln\u00ed \u0161kolen\u00ed modelu pro ka\u017ed\u00fd obr\u00e1zek. Mezi v\u00fdhody nov\u00e9 metody pat\u0159\u00ed tak\u00e9 mo\u017enost modifikovat obr\u00e1zky s v\u00fdkonem bl\u00edzk\u00fdm re\u00e1ln\u00e9mu \u010dasu.

\"HyperStyle<\/center> <\/p>\n

Hotov\u00e9 vy\u0161kolen\u00e9 modely byly p\u0159ipraveny pro obli\u010deje lid\u00ed, automobily a zv\u00ed\u0159ata na z\u00e1klad\u011b kolekc\u00ed Flickr-Faces-HQ (FFHQ, 70 tis\u00edc vysoce kvalitn\u00edch PNG obr\u00e1zk\u016f obli\u010dej\u016f lid\u00ed), Stanford Cars (16 tis\u00edc obr\u00e1zk\u016f automobil\u016f) a AFHQ (fotografie zv\u00ed\u0159at). D\u00e1le je k dispozici n\u00e1stroj pro \u0161kolen\u00ed vlastn\u00edch model\u016f, jako\u017e i pou\u017eiteln\u00e9 p\u0159ipraven\u00e9 vy\u0161kolen\u00e9 modely typov\u00fdch enkod\u00e9r\u016f a gener\u00e1tor\u016f. Nap\u0159\u00edklad jsou k dispozici gener\u00e1tory pro vytv\u00e1\u0159en\u00ed obr\u00e1zk\u016f ve stylu Toonify, postav Pixar, formov\u00e1n\u00ed skic a dokonce i pro stylizaci podle princezen z disneyovsk\u00fdch animovan\u00fdch film\u016f.

\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\n
Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0413\u0440\u0443\u043f\u043f\u0430 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438\u0437 \u0422\u0435\u043b\u044c-\u0410\u0432\u0438\u0432\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 HyperStyle, \u0438\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0439 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 NVIDIA \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f StyleGAN2, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0435\u0440\u0435\u0440\u0430\u0431\u043e\u0442\u0430\u043d \u0434\u043b\u044f \u0432\u043e\u0441\u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u044e\u0449\u0438\u0445 \u0447\u0430\u0441\u0442\u0435\u0439 \u043f\u0440\u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u0415\u0441\u043b\u0438 StyleGAN \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u0438\u043d\u0442\u0435\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c 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