{"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\/sq\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 adaptimi i sistemit t\u00eb m\u00ebsimit t\u00eb makinerive StyleGAN p\u00ebr redaktimin e imazheve.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Nj\u00eb grup k\u00ebrkuesish nga Universiteti i Tel Avivit prezantoi HyperStyle, nj\u00eb variant t\u00eb p\u00ebrmbysur t\u00eb sistemit t\u00eb m\u00ebsimit t\u00eb makinerive StyleGAN2, i zhvilluar nga kompania NVIDIA, i cili \u00ebsht\u00eb rishikuar p\u00ebr t\u00eb rikrijuar pjes\u00ebt e munguara gjat\u00eb redaktimit t\u00eb imazheve reale. Kodi \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python me p\u00ebrdorimin e framework-ut PyTorch dhe shp\u00ebrndahet n\u00ebn licenc\u00ebn MIT. <\/p>\n

N\u00ebse StyleGAN lejon krijimin e fytyrave t\u00eb reja t\u00eb njer\u00ebzve q\u00eb duken realistike, duke caktuar parametra t\u00eb till\u00eb si mosha, seksi, gjat\u00ebsia e flok\u00ebve, karakteri i buz\u00ebqeshjes, forma e hund\u00ebs, ngjyra e l\u00ebkur\u00ebs, syzet dhe \u200b\u200bk\u00ebndin e fotografis\u00eb, HyperStyle ofron mund\u00ebsin\u00eb p\u00ebr t\u00eb ndryshuar parametra t\u00eb ngjash\u00ebm n\u00eb fotografit\u00eb ekzistuese, pa ndryshuar karakteristikat e tyre t\u00eb ve\u00e7anta dhe duke ruajtur njohshm\u00ebrin\u00eb e fytyr\u00ebs origjinale. P\u00ebr shembull, me ndihm\u00ebn e HyperStyle, mund t\u00eb simulohet ndryshimi i mosh\u00ebs s\u00eb nj\u00eb personi n\u00eb fotografi, t\u00eb ndryshohet stilin e flok\u00ebve, t\u00eb shtohen syzet, mjekra ose mustaqet, t\u00eb jepet imazhit pamja e nj\u00eb personazhi nga nj\u00eb karton ose nj\u00eb piktur\u00eb e vizatuar, ose t\u00eb b\u00ebhet shprehja e fytyr\u00ebs t\u00eb duket e trisht\u00eb apo e lumtur. N\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb, sistemi mund t\u00eb trajnohet jo vet\u00ebm p\u00ebr t\u00eb ndryshuar fytyrat e njer\u00ebzve, por edhe p\u00ebr objekte t\u00eb ndryshme, p\u00ebr shembull, p\u00ebr redaktimin e imazheve t\u00eb automjeteve.

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

Metoda e propozuar synon t\u00eb zgjidh\u00eb problemin e rikonstruktimit t\u00eb pjes\u00ebve t\u00eb munges\u00ebs s\u00eb imazhit gjat\u00eb redaktimit. N\u00eb metodat e m\u00ebparshme, kompromisi midis rikonstruktimit dhe redaktueshm\u00ebris\u00eb \u00ebsht\u00eb zgjidhur p\u00ebrmes rregullimit t\u00eb holl\u00ebsish\u00ebm t\u00eb gjeneruesit t\u00eb imazheve p\u00ebr t\u00eb z\u00ebvend\u00ebsuar pjes\u00ebt e imazhit t\u00eb synuar gjat\u00eb rikrijimit t\u00eb fushave t\u00eb redaktueshme q\u00eb iu mungonin fillimisht. Nj\u00eb mang\u00ebsi e k\u00ebtyre qasjeve \u00ebsht\u00eb nevoja p\u00ebr trajnim t\u00eb gjat\u00eb t\u00eb personalizuar t\u00eb rrjetit nervor p\u00ebr \u00e7do imazh. <\/p>\n

Metoda e bazuar n\u00eb algoritmin StyleGAN ofron mund\u00ebsin\u00eb p\u00ebr t\u00eb p\u00ebrdorur nj\u00eb model standard, t\u00eb parap\u00ebrgatitur n\u00eb koleksione t\u00eb p\u00ebrgjithshme imazhi, p\u00ebr t\u00eb gjeneruar elemente t\u00eb ngjashme me imazhin origjinal me nj\u00eb nivel besueshm\u00ebrie q\u00eb \u00ebsht\u00eb krahasuesh\u00ebm me algoritmet q\u00eb k\u00ebrkojn\u00eb trajnimin individual t\u00eb modelit p\u00ebr \u00e7do imazh. Nj\u00eb nga avantazhet e metod\u00ebs s\u00eb re \u00ebsht\u00eb gjithashtu mund\u00ebsia p\u00ebr t\u00eb modifikuar imazhet me performanc\u00eb t\u00eb af\u00ebrt me at\u00eb t\u00eb koh\u00ebs reale.

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

Modelet e trajnuara jan\u00eb t\u00eb gatshme p\u00ebr fytyra njer\u00ebzish, makinash dhe kafsh\u00ebsh bazuar n\u00eb koleksionet Flickr-Faces-HQ (FFHQ, 70 mij\u00eb imazhe PNG me cil\u00ebsi t\u00eb lart\u00eb t\u00eb fytyrave t\u00eb njer\u00ebzve), Stanford Cars (16 mij\u00eb imazhe makinash) dhe AFHQ (fotografi kafsh\u00ebsh). P\u00ebr m\u00eb tep\u00ebr, ofrohet nj\u00eb veg\u00ebl p\u00ebr t\u00eb trajnuar modelet tuaja, si dhe modelet e trajnuara t\u00eb koduesve dhe gjeneruesve q\u00eb mund t\u00eb p\u00ebrdoren me to. P\u00ebr shembull, jan\u00eb t\u00eb disponueshme gjenerues p\u00ebr krijimin e imazheve n\u00eb stilin Toonify, personazheve Pixar, formimin e skicave dhe madje edhe p\u00ebr stilizimin si princesha nga filmat animatografik\u00eb t\u00eb Disney-t.

\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\n
Burimi: 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 adaptimi i sistemit t\u00eb m\u00ebsimit t\u00eb makinerive StyleGAN p\u00ebr redaktimin e imazheve | ProHoster","description":"Nj\u00eb grup k\u00ebrkuesish nga Universiteti i Tel Avivit paraqiti HyperStyle, nj\u00eb version i kthyer i sistemit t\u00eb m\u00ebsimit t\u00eb makinerive StyleGAN2, i zhvilluar nga kompania NVIDIA, i cili \u00ebsht\u00eb ripunuar p\u00ebr t\u00eb rind\u00ebrtuar pjes\u00ebt e humbura gjat\u00eb redaktimit t\u00eb imazheve reale. Kodi \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur korniz\u00ebn PyTorch dhe shp\u00ebrndahet n\u00ebn licenc\u00ebn MIT. N\u00ebse StyleGAN lejon sintetik\u00ebn e fytyrave t\u00eb reja q\u00eb duken realiste, duke caktuar parametra si mosha, gjinia,","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","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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