{"id":85284,"date":"2020-06-14T19:42:01","date_gmt":"2020-06-14T17:42:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov"},"modified":"2020-06-14T19:42:01","modified_gmt":"2020-06-14T17:42:01","slug":"pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","title":{"rendered":"PIFu — nj\u00eb sistem i m\u00ebsimit t\u00eb makineris\u00eb p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut n\u00eb baz\u00eb t\u00eb fotografive 2D","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Nj\u00eb grup k\u00ebrkuesish nga disa universitete amerikane publikoi projektin PIFu<\/a><\/noindex> (Funksioni Implicit i Pajisjes s\u00eb Realizuar n\u00eb Pixel), i cili lejon aplikimin e metodave t\u00eb m\u00ebsimdh\u00ebnies makinerike p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut nga nj\u00eb ose disa imazhe dy-dimensionale. Sistemi lejon riprodhimin e varianteve t\u00eb nd\u00ebrlikuara t\u00eb veshjeve, si\u00e7 jan\u00eb fundet me palosje dhe k\u00ebpuc\u00ebt me taka, dhe hairstyles t\u00eb ndryshme, duke rikuperuar automatikisht tekstur\u00ebn dhe form\u00ebn n\u00eb zona q\u00eb jan\u00eb t\u00eb padukshme n\u00eb projekcionin me t\u00eb cilin krijohet modeli 3D. P\u00ebr t\u00eb rritur cil\u00ebsin\u00eb dhe detajet e modelit p\u00ebrfundimtar 3D, mund t\u00eb p\u00ebrdoren disa imazhe nga k\u00ebnde t\u00eb ndryshme. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur kuadri PyTorch dhe shp\u00ebrndahet<\/a><\/noindex> n\u00ebn licenc\u00ebn MIT.<\/p>\n

\"PIFu<\/a><\/noindex><\/center><\/p>\n

Si burim p\u00ebr rikonstruktimin e modelit volumetrik p\u00ebrdoret nj\u00eb rrjet nervor q\u00eb lejon p\u00ebrzgjedhjen e form\u00ebs m\u00eb t\u00eb mundshme dhe zbulojn\u00eb elemente t\u00eb fshehura, duke u mb\u00ebshtetur n\u00eb modelin e trajnuar mbi variante t\u00eb ndryshme t\u00eb objekteve ekzistuese. Paralelisht, projekti ofron nj\u00eb algorit\u00ebm p\u00ebr p\u00ebrputhjen e modelit volumetrik t\u00eb marr\u00eb me teksturat n\u00eb imazhet dy-dimensionale t\u00eb ofruara, i cili rregullon pixel\u00ebt e imazhit 2D n\u00eb p\u00ebrputhje me pozitat e tyre n\u00eb objektin 3D dhe gjeneron teksturat m\u00eb t\u00eb mundshme q\u00eb mungojn\u00eb. P\u00ebr kodimin e imazhit mund t\u00eb p\u00ebrdoret \u00e7far\u00ebdo rrjeti nervor konvolucional<\/a><\/noindex>paraqet nj\u00eb problem
\narkitektura e rikonstruksionit t\u00eb sip\u00ebrfaqes \u00ebsht\u00eb aplikuar «Stacked hourglass<\/a><\/noindex>«, a
\n p\u00ebr p\u00ebrputhjen e teksturave \u00ebsht\u00eb p\u00ebrdorur nj\u00eb rrjet nervor bazuar n\u00eb arkitektur\u00ebn CycleGAN<\/a><\/noindex>.<\/p>\n

\"PIFu<\/a><\/noindex><\/center><\/p>\n

Modeli i trajnuar q\u00eb \u00ebsht\u00eb p\u00ebrdorur nga k\u00ebrkuesit e disponueshme<\/a><\/noindex> \u00ebsht\u00eb n\u00eb dispozit\u00eb p\u00ebr shkarkim t\u00eb lir\u00eb, por t\u00eb dh\u00ebnat origjinale mbi t\u00eb cilat \u00ebsht\u00eb zhvilluar mbeten t\u00eb mbyllura, pasi q\u00eb ato bazohen n\u00eb rezultatet e skanimit 3D komercial. Si burim p\u00ebr trajnim t\u00eb pavarur t\u00eb modelit mund t\u00eb p\u00ebrdoret baza e modele t\u00eb 3D<\/a><\/noindex> t\u00eb njer\u00ebzve nga projekti Renderpeople.<\/p>\n

\r\n \"Luaj\r\n
<\/div>\r\n <\/div><\/center><\/p>\n

<\/a><\/noindex><\/p>\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 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0430\u043c\u0435\u0440\u0438\u043a\u0430\u043d\u0441\u043a\u0438\u0445 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u043e\u0432 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u043f\u0440\u043e\u0435\u043a\u0442 PIFu (Pixel-Aligned Implicit Function), \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043e\u0434\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f 3D-\u043c\u043e\u0434\u0435\u043b\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0438\u043b\u0438 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\u0432\u043e\u0441\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u044f \u0442\u0435\u043a\u0441\u0442\u0443\u0440\u0443 \u0438 \u0444\u043e\u0440\u043c\u0443 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u0445, \u043d\u0435\u0432\u0438\u0434\u0438\u043c\u044b\u0445 \u0432 \u043f\u0440\u043e\u0435\u043a\u0446\u0438\u0438, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":85285,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-85284","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\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\udd47PIFu \u2014 nj\u00eb sistem t\u00eb m\u00ebsimdh\u00ebnies 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