{"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\/sk\/blog\/news\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","title":{"rendered":"PIFu \u2014 syst\u00e9m strojov\u00e9ho u\u010denia na vytv\u00e1ranie 3D modelu \u010dloveka na z\u00e1klade 2D sn\u00edmok","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Skupina v\u00fdskumn\u00edkov z nieko\u013ek\u00fdch americk\u00fdch univerz\u00edt zverejnila projekt PIFu<\/a><\/noindex> (Pixel-Aligned Implicit Function), ktor\u00fd umo\u017e\u0148uje aplikova\u0165 met\u00f3dy strojov\u00e9ho u\u010denia na vytvorenie 3D modelu \u010dloveka z jedn\u00e9ho alebo viacer\u00fdch dvojrozmern\u00fdch obr\u00e1zkov. Syst\u00e9m dok\u00e1\u017ee rekon\u0161truova\u0165 zlo\u017eit\u00e9 varianty oble\u010denia, ako s\u00fa sukne so skladkami a top\u00e1nky na podp\u00e4tku, a r\u00f4zne \u00fa\u010desy, pri\u010dom samostatne obnovuje text\u00faru a tvar v oblastiach, ktor\u00e9 s\u00fa v projekcii nevidite\u013en\u00e9 a z ktorej sa vytv\u00e1ra 3D model. Na zv\u00fd\u0161enie kvality a detailov v\u00fdsledn\u00e9ho 3D modelu m\u00f4\u017ee by\u0165 pou\u017eit\u00fdch nieko\u013eko obr\u00e1zkov z r\u00f4znych uhlov. distribuovan\u00fd<\/a><\/noindex> pod licenciou MIT.<\/p>\n

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

Ako zdroj na rekon\u0161trukciu objemov\u00e9ho modelu sa vyu\u017e\u00edva neur\u00f3nov\u00e1 sie\u0165, ktor\u00e1 vyber\u00e1 najpravdepodobnej\u0161\u00ed tvar a dom\u00fd\u0161\u013ea skryt\u00e9 prvky na z\u00e1klade modelu, ktor\u00fd bol vy\u0161kolen\u00fd na r\u00f4znych variantoch existuj\u00facich objektov. S\u00fabe\u017ene projekt poskytuje algoritmus na priradenie z\u00edskan\u00e9ho objemov\u00e9ho modelu k text\u00faram na poskytnut\u00fdch dvojrozmern\u00fdch obr\u00e1zkoch, ktor\u00fd vyrovn\u00e1va pixely 2D obr\u00e1zka pod\u013ea ich poz\u00edcie na 3D objekte a generuje najpravdepodobnej\u0161ie ch\u00fdbaj\u00face text\u00fary. Na k\u00f3dovanie obrazu m\u00f4\u017ee by\u0165 pou\u017eit\u00e1 ak\u00e1ko\u013evek konvolu\u010dn\u00e1 neur\u00f3nov\u00e1 sie\u0165<\/a><\/noindex>, pre
\nna rekon\u0161trukciu povrchu bola pou\u017eit\u00e1 architekt\u00fara \u201eStacked hourglass<\/a><\/noindex>\u201e, a
\n na priradenie text\u00far sa vyu\u017eila neur\u00f3nov\u00e1 sie\u0165 zalo\u017een\u00e1 na architekt\u00fare CycleGAN<\/a><\/noindex>.<\/p>\n

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

Pou\u017eit\u00fd model, ktor\u00fd bol v\u00fdskumn\u00edkmi predpripraven\u00fd je dostupn\u00e1<\/a><\/noindex> na vo\u013en\u00e9 stiahnutie, no zdrojov\u00e9 d\u00e1ta, na ktor\u00fdch bolo \u0161kolenie vykonan\u00e9, ost\u00e1vaj\u00fa uzavret\u00e9, preto\u017ee s\u00fa zalo\u017een\u00e9 na v\u00fdsledkoch komer\u010dn\u00e9ho 3D skenovania. Ako zdroj na samostatn\u00e9 vyu\u010dovanie modelu m\u00f4\u017ee sl\u00fa\u017ei\u0165 z\u00e1klad\u0148a 3D modelov<\/a><\/noindex> \u013eud\u00ed z projektu Renderpeople.<\/p>\n

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

<\/a><\/noindex><\/p>\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 \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\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 syst\u00e9m strojov\u00e9ho u\u010denia na 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