{"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\/sk\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 adapt\u00e1cia syst\u00e9mu strojov\u00e9ho u\u010denia StyleGAN pre \u00fapravu obr\u00e1zkov","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Skupina vedcov z Telavivskej univerzity predstavila HyperStyle, inverzn\u00fa variantu syst\u00e9mu strojov\u00e9ho u\u010denia StyleGAN2 vyvinut\u00e9ho spolo\u010dnos\u0165ou NVIDIA, prepracovan\u00fa na rekon\u0161trukciu ch\u00fdbaj\u00facich \u010dast\u00ed pri \u00faprave skuto\u010dn\u00fdch obr\u00e1zkov. K\u00f3d je nap\u00edsan\u00fd v programovacom jazyku Python s pou\u017eit\u00edm r\u00e1mca PyTorch a je distribuovan\u00fd pod licenciou MIT. <\/p>\n

Ak StyleGAN umo\u017e\u0148uje syntetizova\u0165 realisticky vyzeraj\u00face nov\u00e9 tv\u00e1re \u013eud\u00ed, nastavovan\u00edm tak\u00fdch parametrov, ako s\u00fa vek, pohlavie, d\u013a\u017eka vlasov, charakter \u00fasmevu, tvar nosa, farba pleti, okuliare a uhol fotografie, HyperStyle umo\u017e\u0148uje zmeni\u0165 podobn\u00e9 parametre u\u017e existuj\u00facich fotografi\u00ed, pri\u010dom nezmen\u00ed ich charakteristick\u00e9 \u010drty a zachov\u00e1va rozpoznate\u013enos\u0165 p\u00f4vodnej tv\u00e1re. Napr\u00edklad, pomocou HyperStyle m\u00f4\u017eete simulova\u0165 zmenu veku \u010dloveka na fotografii, zmeni\u0165 \u00fa\u010des, prida\u0165 okuliare, bradu alebo f\u00fazy, da\u0165 obr\u00e1zku vzh\u013ead postavy z rozpr\u00e1vky alebo kreslen\u00e9ho obrazu, zmeni\u0165 v\u00fdraz tv\u00e1re na smutn\u00fd alebo vesel\u00fd. Pri tom m\u00f4\u017ee by\u0165 syst\u00e9m vycvi\u010den\u00fd nielen na zmenu tv\u00e1r\u00ed \u013eud\u00ed, ale aj na ak\u00e9ko\u013evek predmety, napr\u00edklad na \u00fapravu obr\u00e1zkov automobilov.

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

Navrhnut\u00e1 met\u00f3da sa zameriava na rie\u0161enie probl\u00e9mu rekon\u0161trukcie ch\u00fdbaj\u00facich \u010dast\u00ed obr\u00e1zka pri \u00faprave. V predt\u00fdm navrhnut\u00fdch met\u00f3dach sa kompromis medzi rekon\u0161trukciou a editovate\u013enos\u0165ou rie\u0161il jemn\u00fdm doladen\u00edm gener\u00e1tora obr\u00e1zkov na substit\u00faciu \u010dast\u00ed cie\u013eov\u00e9ho obr\u00e1zka pri vytv\u00e1ran\u00ed p\u00f4vodne ch\u00fdbaj\u00facich editovate\u013en\u00fdch oblast\u00ed. Nedostatkom t\u00fdchto pr\u00edstupov je potreba dlh\u00e9ho cie\u013eov\u00e9ho u\u010denia neur\u00f3novej siete pre ka\u017ed\u00fd obr\u00e1zok. <\/p>\n

Met\u00f3da zalo\u017een\u00e1 na algoritme StyleGAN umo\u017e\u0148uje pou\u017e\u00edva\u0165 typov\u00fd model, ktor\u00fd bol predt\u00fdm natr\u00e9novan\u00fd na v\u0161eobecn\u00fdch zbierkach obr\u00e1zkov, na generovanie prvkov prisl\u00fachaj\u00facich p\u00f4vodn\u00e9mu obr\u00e1zku, s \u00farov\u0148ou d\u00f4veryhodnosti porovnate\u013enou s algoritmami, ktor\u00e9 vy\u017eaduj\u00fa individu\u00e1lne tr\u00e9ningov\u00e9 modely pre ka\u017ed\u00fd obr\u00e1zok. Medzi v\u00fdhody novej met\u00f3dy patr\u00ed aj mo\u017enos\u0165 modifik\u00e1cie obr\u00e1zkov s r\u00fdchlos\u0165ou bl\u00edzkou re\u00e1lnemu \u010dasu.

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

Hotov\u00e9 natr\u00e9novan\u00e9 modely s\u00fa pripraven\u00e9 pre tv\u00e1re \u013eud\u00ed, aut\u00e1 a zvierat\u00e1 na z\u00e1klade zbierok Flickr-Faces-HQ (FFHQ, 70 tis\u00edc vysoko kvalitn\u00fdch PNG obr\u00e1zkov tv\u00e1r\u00ed \u013eud\u00ed), Stanford Cars (16 tis\u00edc obr\u00e1zkov \u00e1ut) a AFHQ (fotografie zvierat). Navy\u0161e je k dispoz\u00edcii n\u00e1stroj pre tr\u00e9ning vlastn\u00fdch modelov, ako aj pou\u017eite\u013en\u00e9 hotov\u00e9 natr\u00e9novan\u00e9 modely typov\u00fdch kod\u00e9rov a gener\u00e1torov. Napr\u00edklad s\u00fa k dispoz\u00edcii gener\u00e1tory na vytv\u00e1ranie obr\u00e1zkov v \u0161t\u00fdle Toonify, post\u00e1v Pixar, vytv\u00e1ranie sk\u00edc a dokonca na styliz\u00e1ciu do princezien z disneyovsk\u00fdch rozpr\u00e1vok.

\"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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