{"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\/hu\/blog\/news\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","title":{"rendered":"PIFu \u2014 a machine learning system for constructing a 3D model of a person based on 2D images","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

T\u00f6bb amerikai egyetem kutat\u00f3csoportja k\u00f6zz\u00e9tette a projektet PIFu<\/a><\/noindex> (Pixel-Aligned Implicit Function), amely lehet\u0151v\u00e9 teszi g\u00e9pi tanul\u00e1si m\u00f3dszerek alkalmaz\u00e1s\u00e1t az ember 3D-modellj\u00e9nek elk\u00e9sz\u00edt\u00e9s\u00e9re egy vagy t\u00f6bb k\u00e9tDimenzi\u00f3s k\u00e9p alapj\u00e1n. A rendszer k\u00e9pes \u00f6sszetett ruh\u00e1zati v\u00e1ltozatokat, p\u00e9ld\u00e1ul plissz\u00edrozott szokny\u00e1kat \u00e9s magassark\u00fa cip\u0151ket \u00fajraalkotni, \u00e9s k\u00fcl\u00f6nb\u00f6z\u0151 frizur\u00e1kat, auton\u00f3m m\u00f3don helyre\u00e1ll\u00edtva a text\u00far\u00e1t \u00e9s a form\u00e1t a l\u00e1thatatlan r\u00e9szletekn\u00e9l, amelyekr\u0151l a 3D-modell k\u00e9sz\u00fcl. A v\u00e9gs\u0151 3D-modell min\u0151s\u00e9g\u00e9nek \u00e9s r\u00e9szletess\u00e9g\u00e9nek n\u00f6vel\u00e9s\u00e9re t\u00f6bb k\u00e9p is felhaszn\u00e1lhat\u00f3 k\u00fcl\u00f6nb\u00f6z\u0151 sz\u00f6gekb\u0151l. A projekt k\u00f3dj\u00e1t Python nyelven \u00edrt\u00e1k a PyTorch keretrendszer haszn\u00e1lat\u00e1val, \u00e9s terjeszt\u00e9sre ker\u00fcl<\/a><\/noindex> MIT licenc alatt \u00e1ll.<\/p>\n

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

A t\u00e9rbeli makett rekonstrukci\u00f3j\u00e1hoz egy neur\u00e1lis h\u00e1l\u00f3zat szolg\u00e1l forr\u00e1sk\u00e9nt, amely lehet\u0151v\u00e9 teszi a legval\u00f3sz\u00edn\u0171bb forma kiv\u00e1laszt\u00e1s\u00e1t \u00e9s a rejtett elemek kital\u00e1l\u00e1s\u00e1t a k\u00fcl\u00f6nb\u00f6z\u0151 l\u00e9tez\u0151 objektumv\u00e1ltozatok alapj\u00e1n betan\u00edtott modell seg\u00edts\u00e9g\u00e9vel. E p\u00e1rhuzamosan a projekt algoritmust k\u00edn\u00e1l a l\u00e9trehozott t\u00e9rbeli makett text\u00far\u00e1k p\u00e1ros\u00edt\u00e1s\u00e1ra az adott k\u00e9tDimenzi\u00f3s k\u00e9peken, amely a 2D-k\u00e9p pixeleit a 3D-objektumok helyzete szerint igaz\u00edtja, \u00e9s gener\u00e1lja a legval\u00f3sz\u00edn\u0171bb hi\u00e1nyz\u00f3 text\u00far\u00e1kat. A k\u00e9p k\u00f3dol\u00e1s\u00e1hoz b\u00e1rmilyen konvol\u00faci\u00f3s neur\u00e1lis h\u00e1l\u00f3zat<\/a><\/noindex>probl\u00e9m\u00e1t jelent
\na fel\u00fclet rekonstrukci\u00f3ja sor\u00e1n alkalmazott architekt\u00fara \u00a0<Stacked hourglass<\/a><\/noindex>\u00a0>, \u00e9s
\n a text\u00far\u00e1k p\u00e1ros\u00edt\u00e1s\u00e1ra egy CycleGAN<\/a><\/noindex>.<\/p>\n

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

kutat\u00f3k \u00e1ltal haszn\u00e1lt el\u0151k\u00e9pzett modell a PC-n (Steam \u00e9s Epic Games Store), PS4-en \u00e9s Xbox One-on tegnap, m\u00e1jus 19-\u00e9n, egyidej\u0171leg a Mafia III: Definitive Edition-nal. A Valve platformj\u00e1n a j\u00e1t\u00e9k<\/a><\/noindex> szabadon let\u00f6lthet\u0151, de a melyen a tanul\u00e1s t\u00f6rt\u00e9nt adatok z\u00e1rtak maradnak, mivel kereskedelmi 3D-lei szkennel\u00e9sen alapulnak. A modell \u00f6n\u00e1ll\u00f3 betan\u00edt\u00e1s\u00e1hoz haszn\u00e1lhat\u00f3 forr\u00e1sk\u00e9nt 3D-modellek adatb\u00e1zisa<\/a><\/noindex> az Renderpeople projektb\u0151l.<\/p>\n

\r\n \"Vide\u00f3\r\n
<\/div>\r\n <\/div><\/center><\/p>\n

<\/a><\/noindex><\/p>\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 \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-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\udd47 A PIFu egy g\u00e9pi tanul\u00e1si rendszer, amely emberi 3D-modellek elk\u00e9sz\u00edt\u00e9s\u00e9re szolg\u00e1l 2D-felv\u00e9telek alapj\u00e1n | ProHoster","description":"T\u00f6bb amerikai egyetem kutat\u00f3csoportja k\u00f6zz\u00e9tette a PIFu (Pixel-Aligned Implicit Function) projektet.","canonical_url":"https:\/\/prohoster.info\/hu\/blog\/news\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"hu_HU","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\udd47PIFu \u2014 \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \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 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 2D-\u0441\u043d\u0438\u043c\u043a\u043e\u0432 | 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 \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).","og:url":"https:\/\/prohoster.info\/hu\/blog\/news\/pifu-sistema-mashinnogo-obucheniya-dlya-postroeniya-3d-modeli-cheloveka-na-osnove-2d-snimkov","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2020-06-14T17:42:01+00:00","article:modified_time":"2020-06-14T17:42:01+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"85284","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-02-28 10:35:23","updated":"2022-09-28 11:59:14","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/85284","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/comments?post=85284"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/85284\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media\/85285"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media?parent=85284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/categories?post=85284"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/tags?post=85284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}