{"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\/novosti-interneta\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","title":{"rendered":"PIFu \u2014 nj\u00eb sistem m\u00ebsimi automatik p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut bazuar n\u00eb fotografi 2D","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Nj\u00eb grup k\u00ebrkuesish nga disa universitete amerikane publikoi nj\u00eb projekt PIFu<\/a><\/noindex> (Pixel-Aligned Implicit Function), q\u00eb lejon p\u00ebrdorimin e metodave t\u00eb m\u00ebsimit t\u00eb makinerive p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut nga nj\u00eb ose m\u00eb shum\u00eb imazhe dy-dimensionale. Sistemi lejon riprodhimin e variacioneve komplekse t\u00eb veshjeve, t\u00eb tilla si fundet me palosje dhe k\u00ebpuc\u00ebt me tak\u00eb, si dhe ndryshime n\u00eb hairstyle, duke rikonstrukturuar vet\u00eb tekstur\u00ebn dhe form\u00ebn n\u00eb zona q\u00eb nuk jan\u00eb t\u00eb dukshme n\u00eb projekcionin nga i cili 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\u00ebndv\u00ebshtrime t\u00eb ndryshme. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur framework-un PyTorch dhe distribuohet<\/a><\/noindex> n\u00eb p\u00ebrputhje me licenc\u00ebn MIT.<\/p>\n

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

Si burimi p\u00ebr rekonstruktimin e nj\u00eb modeli volumetrik \u00ebsht\u00eb nj\u00eb rrjet nervor q\u00eb lejon zgjedhjen e form\u00ebs m\u00eb t\u00eb mundshme dhe plot\u00ebsimin e elementeve t\u00eb fshehura, duke u nisur nga modeli i trajnuar me varianta 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 2D t\u00eb ofruara, i cili rregullon piksel\u00ebt e imazhit 2D sipas pozicionit t\u00eb 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 \u00e7do rrjet nervor konvolucional<\/a><\/noindex>, p\u00ebr
\narkitektura e rikonstruksionit t\u00eb sip\u00ebrfaqes \u00ebsht\u00eb aplikuar «Stacked hourglass<\/a><\/noindex>«, a
\n p\u00ebr p\u00ebrputhjen e teksturave \u00ebsht\u00eb angazhuar nj\u00eb rrjet nervor me baz\u00eb arkitektur\u00ebn CycleGAN<\/a><\/noindex>.<\/p>\n

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

Modeli i trajnuar i p\u00ebrdorur nga hulumtuesit e disponueshme<\/a><\/noindex> p\u00ebr shkarkim t\u00eb lir\u00eb, por t\u00eb dh\u00ebnat burimore mbi t\u00eb cilat \u00ebsht\u00eb kryer trajnimi mbeten t\u00eb mbyllura, pasi ato jan\u00eb t\u00eb bazuara n\u00eb rezultatet e skanimit 3D komercial. Si burim p\u00ebr trajnimin e vet modelit mund t\u00eb p\u00ebrdoret baza e modeleve 3D<\/a><\/noindex> njer\u00ebz 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 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0434\u0432\u0443\u043c\u0435\u0440\u043d\u044b\u043c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c. \u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u043e\u0441\u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u043e\u0434\u0435\u0436\u0434\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u044e\u0431\u043a\u0438 \u0441\u043e \u0441\u043a\u043b\u0430\u0434\u043a\u0430\u043c\u0438 \u0438 \u0442\u0443\u0444\u043b\u0438 \u043d\u0430 \u043a\u0430\u0431\u043b\u0443\u043a\u0430\u0445, \u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043f\u0440\u0438\u0447\u0451\u0441\u043a\u0438, \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e \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-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\udd47PIFu \u2014 nj\u00eb sistem m\u00ebsimi automatic p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut mbi baz\u00ebn e imazheve 2D | ProHoster","description":"Nj\u00eb grup studiuesish nga disa universitete amerikane publikoi projektin PIFu (Pixel-Aligned Implicit Function), i cili lejon zbatimin e metodave t\u00eb m\u00ebsimit automatik p\u00ebr nd\u00ebrtimin e nj\u00eb modeli 3D t\u00eb njeriut nga nj\u00eb ose disa imazhe dy-dimensional. 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