{"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\/et\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle — masin\u00f5ppe s\u00fcsteemi StyleGAN kohandamine piltide redigeerimiseks","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Tel Avivi \u00fclikooli teadlaste r\u00fchm esitas HyperStyle'i, NVIDIA arendatava StyleGAN2 masin\u00f5ppe s\u00fcsteemi p\u00f6\u00f6rdversiooni, mis on kohandatud puuduvate osade rekonstrueerimiseks reaalseid pilte redigeerides. Kood on kirjutatud Pythonis, kasutades PyTorch raamistikku, ja see levitakse MIT litsentsi alusel. <\/p>\n

Kui StyleGAN v\u00f5imaldab s\u00fcnteesida realistlikult n\u00e4itavaid uusi inimesi, m\u00e4\u00e4rates sellised parameetrid nagu vanus, sugu, juuste pikkus, naeratuse iseloom, nina kuju, naha v\u00e4rv, prillid ja foto nurk, siis HyperStyle annab v\u00f5imaluse muuta sarnaseid parameetreid juba olemasolevates fotodes, muutes nende iseloomulikke jooni ja s\u00e4ilitades algse n\u00e4o \u00e4ratuntavuse. N\u00e4iteks v\u00f5imaldab HyperStyle simuleerida inimese vanuse muutumist fotos, vahetada soengut, lisada prille, habe v\u00f5i vuntse, anda pildile multikategelase v\u00f5i maalitud maali v\u00e4limuse, muuta n\u00e4oilme kurvaks v\u00f5i r\u00f5\u00f5msaks. Samuti v\u00f5ib s\u00fcsteemi koolitada mitte ainult inimeste n\u00e4gude muutmiseks, vaid ka \u00fcksk\u00f5ik milliste esemete, n\u00e4iteks autode piltide muutmiseks.

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

Pakutud meetod keskendub lahenduse leidmisele probleemile, mis on seotud puudu olevate piltide osade rekonstrueerimisega redigeerimise k\u00e4igus. Varasemates meetodites lahendati kompromiss rekonstrueerimise ja redigeeritavuse vahel piltide generaatori t\u00e4psustamise teel, et asendada sihtpildi osi puuduvate redigeeritavate alade taastamisel. Selliste l\u00e4henemisviiside puuduseks on vajadus pikaajalise sihitud treeningu j\u00e4rele n\u00e4rviv\u00f5rgu jaoks iga pildi puhul. <\/p>\n

StyleGAN-algoritmil p\u00f5hinev meetod v\u00f5imaldab kasutada t\u00fc\u00fcpilist mudelit, mis on eelnevalt koolitatud tavaliste pildikollektsioonide peal, algsete piltide elementide genereerimiseks, mille usaldusv\u00e4\u00e4rsuse tase on v\u00f5rreldav algoritmidega, mis n\u00f5uavad individuaalset mudeli treenimist iga pildi kohta. Uue meetodi eeliseks on ka piltide modifitseerimise v\u00f5imalus, mille j\u00f5udlus on l\u00e4hedane reaalajas t\u00f6\u00f6tlusele.

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

Valmis koolitatud mudelid on loodud inimeste, autode ja loomade n\u00e4gude p\u00f5hjal, kasutades Flickr-Faces-HQ (FFHQ, 70 000 kvaliteetset PNG-pilti inimestest), Stanford Cars (16 000 auto pilti) ja AFHQ (loomade fotod) kollektsioone. Lisaks on saadaval t\u00f6\u00f6riistad oma mudelite koolitamiseks, samuti eelnevalt koolitatud mudeleid standardsete kodeerijate ja genereerijate jaoks, mida on lihtne kasutada. N\u00e4iteks on saadaval generaatorid Toonify stiilis piltide loomiseks, Pixar tegelaste loomiseks, sket\u0161ide genereerimiseks ja isegi Disney multikates printsi stiilimiseks.

\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\n
Allikas: 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 \u0440\u0435\u0430\u043b\u0438\u0441\u0442\u0438\u0447\u043d\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u044f\u0449\u0438\u0435 \u043d\u043e\u0432\u044b\u0435 \u043b\u0438\u0446\u0430 \u043b\u044e\u0434\u0435\u0439, \u0437\u0430\u0434\u0430\u0432\u0430\u044f \u0442\u0430\u043a\u0438\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b, \u043a\u0430\u043a \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u043f\u043e\u043b, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":102455,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-102454","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47HyperStyle \u2014 StyleGAN machine learning s\u00fcsteemi kohandamine piltide redigeerimiseks | ProHoster","description":"Tel-Aviv \u00dclikooli uurimisgrupp esitles HyperStyle'i, NVIDIAs arendatava StyleGAN2 machine learning s\u00fcsteemi muudetud versiooni, mis on kohandatud puuduolevate osade taastamiseks reaalses pildiredigeerimises. Kood on kirjutatud Python keeles kasutades PyTorch raamistikku ja on litsentseeritud MIT litsentsi alusel. Kui StyleGAN v\u00f5imaldab s\u00fcnteesida realistlikult n\u00e4ivaid uusi inimesi, m\u00e4\u00e4rates parameetreid nagu vanus, sugu,","canonical_url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47HyperStyle \u2014 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f StyleGAN \u0434\u043b\u044f \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 | ProHoster","og:description":"\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 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