{"id":105302,"date":"2022-10-13T15:36:48","date_gmt":"2022-10-13T13:36:48","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/otkryt-kod-sistemy-mashinnogo-obucheniya-dlya-generaczii-realistichnyh-dvizhenij-cheloveka"},"modified":"2022-10-13T15:36:48","modified_gmt":"2022-10-13T13:36:48","slug":"otkryt-kod-sistemy-mashinnogo-obucheniya-dlya-generaczii-realistichnyh-dvizhenij-cheloveka","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/otkryt-kod-sistemy-mashinnogo-obucheniya-dlya-generaczii-realistichnyh-dvizhenij-cheloveka","title":{"rendered":"Codul sistemului de \u00eenv\u0103\u021bare automat\u0103 pentru generarea de mi\u0219c\u0103ri realiste ale corpului a fost deschis","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Un grup de cercet\u0103tori de la Universitatea Tel Aviv a dezv\u0103luit codurile surs\u0103 legate de sistemul de \u00eenv\u0103\u021bare automat\u0103 MDM (Modelul de Difuzie a Mi\u0219c\u0103rilor), care permite generarea de mi\u0219c\u0103ri realiste ale oamenilor. Codul este scris \u00een limbajul Python folosind cadrul PyTorch \u0219i este distribuit sub licen\u021ba MIT. Pentru a efectua experimente, se pot folosi at\u00e2t modele gata f\u0103cute, c\u00e2t \u0219i se poate antrena modelele singuri cu ajutorul scripturilor oferite, de exemplu, folosind colec\u021bia de imagini tridimensionale ale oamenilor HumanML3D. Pentru antrenarea sistemului este necesar un GPU care suport\u0103 CUDA. <\/p>\n

Aplicarea capacit\u0103\u021bilor tradi\u021bionale pentru animarea mi\u0219c\u0103rilor umane este complicat\u0103 din cauza diversit\u0103\u021bii mari a mi\u0219c\u0103rilor posibile \u0219i a dificult\u0103\u021bii de a le descrie formal, precum \u0219i din cauza sensibilit\u0103\u021bii mari a percep\u021biei umane la mi\u0219c\u0103rile nenaturale. Anterior, \u00eencerc\u0103rile de a utiliza modele generative de \u00eenv\u0103\u021bare automat\u0103 au avut probleme cu calitatea \u0219i expresivitatea limitat\u0103. <\/p>\n

\u00cen sistemul propus, a fost efectuat\u0103 o \u00eencercare de a utiliza modele de difuziune pentru generarea de mi\u0219c\u0103ri, care, prin natura lor, sunt mai potrivite pentru simularea mi\u0219c\u0103rilor umane, dar nu sunt lipsite de dezavantaje, cum ar fi cerin\u021bele ridicate de resurse computa\u021bionale \u0219i complexitatea managementului. Pentru a minimiza dezavantajele modelelor de difuziune, \u00een MDM este implicat o re\u021bea neuronal\u0103 cu arhitectura \u201etransformer\u201d \u0219i previzionarea unui e\u0219antion \u00een loc de prognoza zgomotului \u00een fiecare etap\u0103, ceea ce simplific\u0103 prevenirea anomaliilor, cum ar fi pierderea contactului suprafe\u021bei cu piciorul. <\/p>\n

Pentru gestionarea gener\u0103rii, este prev\u0103zut\u0103 posibilitatea de a aplica o descriere a ac\u021biunii \u00een limbaj natural (de exemplu, \u201eo persoan\u0103 merge \u00eenainte \u0219i se apleac\u0103 pentru a ridica ceva de pe p\u0103m\u00e2nt\u201d) sau utilizarea ac\u021biunilor standard, cum ar fi \u201ealergare\u201d \u0219i \u201es\u0103rituri\u201d. Sistemul poate fi, de asemenea, utilizat pentru a edita mi\u0219c\u0103rile \u0219i a completa detaliile pierdute. Cercet\u0103torii au realizat un experiment \u00een care participan\u021bii au fost invita\u021bi s\u0103 aleag\u0103 din mai multe op\u021biuni rezultatul de cea mai bun\u0103 calitate - \u00een 42% din cazuri, oamenii au preferat mi\u0219c\u0103rile sintetizate, nu pe cele reale.

\r\n \"Reda\u021bi\r\n
<\/div>\r\n <\/div><\/center>
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Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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fost deschis | ProHoster","description":"Un grup de cercet\u0103tori de la Universitatea din Tel Aviv a deschis codurile surs\u0103 asociate cu sistemul de \u00eenv\u0103\u021bare automat\u0103 MDM (Model de Difuzie a Mi\u0219c\u0103rii), care permite generarea de mi\u0219c\u0103ri realiste ale oamenilor.","canonical_url":"https:\/\/prohoster.info\/ro\/blog\/news\/otkryt-kod-sistemy-mashinnogo-obucheniya-dlya-generaczii-realistichnyh-dvizhenij-cheloveka","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"ro_RO","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\udd47\u041e\u0442\u043a\u0440\u044b\u0442 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