{"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\/hu\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 a rendszer g\u00e9pi tanul\u00e1sa a StyleGAN adapt\u00e1ci\u00f3ja a k\u00e9pek szerkeszt\u00e9s\u00e9re","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A Tel-Avivi Egyetem kutat\u00f3csoportja bemutatta a HyperStyle-t, a NVIDIA \u00e1ltal fejlesztett StyleGAN2 g\u00e9pi tanul\u00e1si rendszer invert\u00e1lt v\u00e1ltozat\u00e1t, amelyet az igazi k\u00e9pek szerkeszt\u00e9sekor hi\u00e1nyz\u00f3 r\u00e9szek rekonstru\u00e1l\u00e1s\u00e1ra alak\u00edtottak \u00e1t. A k\u00f3d Python nyelven k\u00e9sz\u00fclt, a PyTorch keretrendszer felhaszn\u00e1l\u00e1s\u00e1val, \u00e9s MIT licenc alatt terjesztik. <\/p>\n

Am\u00edg a StyleGAN lehet\u0151v\u00e9 teszi, hogy \u00faj, \u00e9leth\u0171en kin\u00e9z\u0151 emberi arca szintetiz\u00e1ljunk olyan param\u00e9terek megad\u00e1s\u00e1val, mint az \u00e9letkor, a nem, a hajhossz, a mosoly jellege, az orr form\u00e1ja, a b\u0151rsz\u00edn, a szem\u00fcveg \u00e9s a f\u00e9nyk\u00e9pez\u00e9si sz\u00f6g, addig a HyperStyle lehet\u0151v\u00e9 teszi az ilyen param\u00e9terek m\u00f3dos\u00edt\u00e1s\u00e1t m\u00e1r l\u00e9tez\u0151 f\u00e9nyk\u00e9peken, an\u00e9lk\u00fcl, hogy megv\u00e1ltoztatn\u00e1 a jellegzetes von\u00e1sokat \u00e9s meg\u0151rizn\u00e9 az eredeti arct\u00f3l val\u00f3 hasonl\u00f3s\u00e1got. P\u00e9ld\u00e1ul a HyperStyle seg\u00edts\u00e9g\u00e9vel szimul\u00e1lhat\u00f3 az \u00e9letkor v\u00e1ltoztat\u00e1sa egy f\u00e9nyk\u00e9pen, frizura m\u00f3dos\u00edt\u00e1sa, szem\u00fcveg, szak\u00e1ll vagy bajusz hozz\u00e1ad\u00e1sa, a k\u00e9p karakter\u00e9nek megjelen\u00edt\u00e9se, mint egy mesealak vagy festm\u00e9ny, vagy az arckifejez\u00e9s szomor\u00fara vagy vid\u00e1mra v\u00e1ltoztat\u00e1sa. Ebben az esetben a rendszer nemcsak az emberek arc\u00e1nak megv\u00e1ltoztat\u00e1s\u00e1ra k\u00e9pes, hanem b\u00e1rmilyen t\u00e1rgy szerkeszt\u00e9s\u00e9re is, p\u00e9ld\u00e1ul aut\u00f3k k\u00e9peinek m\u00f3dos\u00edt\u00e1s\u00e1ra.

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

A javasolt m\u00f3dszer c\u00e9lja a hi\u00e1nyz\u00f3 r\u00e9szletek rekonstrukci\u00f3j\u00e1nak probl\u00e9m\u00e1ja a k\u00e9pek szerkeszt\u00e9sekor. A kor\u00e1bbi m\u00f3dszerekben a rekonstrukci\u00f3 \u00e9s a szerkeszthet\u0151s\u00e9g k\u00f6z\u00f6tti kompromisszumba a k\u00e9pgener\u00e1tor finomhangol\u00e1s\u00e1val jutottak el, hogy a c\u00e9lzott k\u00e9p hi\u00e1nyz\u00f3 szerkeszthet\u0151 ter\u00fcleteit helyettes\u00edts\u00e9k. Az ilyen megk\u00f6zel\u00edt\u00e9sek h\u00e1tr\u00e1nya a hossz\u00fa tartam\u00fa c\u00e9lzott neur\u00e1lis h\u00e1l\u00f3zatok tanulm\u00e1nyoz\u00e1s\u00e1nak sz\u00fcks\u00e9gess\u00e9ge minden egyes k\u00e9p eset\u00e9ben. <\/p>\n

A StyleGAN-algoritmuson alapul\u00f3 m\u00f3dszer lehet\u0151v\u00e9 teszi, hogy egy \u00e1ltal\u00e1nos k\u00e9pcsoporton el\u0151k\u00e9pzett tipikus modellt haszn\u00e1ljunk, a kiindul\u00e1si k\u00e9pen megjelen\u0151 elemek gener\u00e1l\u00e1s\u00e1ra, hiteles\u00edt\u00e9si szinten, amely \u00f6sszehasonl\u00edthat\u00f3 a modell egyedi tr\u00e9ningj\u00e9t ig\u00e9nyl\u0151 algoritmusokkal. Az \u00faj m\u00f3dszer el\u0151nyei k\u00f6z\u00f6tt megeml\u00edtend\u0151 a k\u00e9pek m\u00f3dos\u00edt\u00e1s\u00e1nak lehet\u0151s\u00e9ge, amely teljes\u00edtm\u00e9ny\u00e9vel k\u00f6zel \u00e1ll a val\u00f3s idej\u0171 feldolgoz\u00e1shoz.

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

Az el\u0151k\u00e9pzett modellek emberek, aut\u00f3k \u00e9s \u00e1llatok arcaival k\u00e9sz\u00fcltek, a Flickr-Faces-HQ (FFHQ, 70 ezer kiv\u00e1l\u00f3 min\u0151s\u00e9g\u0171 PNG-felv\u00e9tel az emberek arc\u00e1r\u00f3l), a Stanford Cars (16 ezer aut\u00f3k k\u00e9p\u00e9vel) \u00e9s az AFHQ (\u00e1llatfot\u00f3k) gy\u0171jtem\u00e9nyek alapj\u00e1n. Tov\u00e1bb\u00e1 eszk\u00f6z\u00f6ket biztos\u00edtanak saj\u00e1t modellek k\u00e9pz\u00e9s\u00e9hez, valamint haszn\u00e1latra k\u00e9sz el\u0151k\u00e9pzett modelleket, amelyek mintak\u00f3dol\u00f3kkal \u00e9s gener\u00e1torokkal m\u0171k\u00f6dnek egy\u00fctt. P\u00e9ld\u00e1ul el\u00e9rhet\u0151ek gener\u00e1torok Toonify st\u00edlus\u00fa k\u00e9pek, Pixar karakterek, skiccek \u00e9s m\u00e9g Disney meseprincessz\u00e1k stiliz\u00e1l\u00e1s\u00e1hoz.

\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\n
Forr\u00e1s: 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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\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\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47HyperStyle \u2014 a StyleGAN g\u00e9pi tanul\u00e1si rendszer alkalmaz\u00e1sa k\u00e9pszerkeszt\u00e9sre | ProHoster","description":"A Tel-Aviv Egyetem kutat\u00f3i bemutatt\u00e1k a HyperStyle-t, a NVIDIA \u00e1ltal fejlesztett StyleGAN2 g\u00e9pi tanul\u00e1si rendszer invert\u00e1lt v\u00e1ltozat\u00e1t, amely a hi\u00e1nyz\u00f3 elemek \u00fajraalkot\u00e1s\u00e1ra lett 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