{"id":181876,"date":"2026-06-03T14:48:10","date_gmt":"2026-06-03T12:48:12","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/open-image-denoise-2-5-0"},"modified":"2026-06-03T14:48:10","modified_gmt":"2026-06-03T12:48:12","slug":"open-image-denoise-2-5-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/open-image-denoise-2-5-0","title":{"rendered":"Open Image Denoise 2.5.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23526\/original.jpg\"><br \/>\n          <img decoding=\"async\" src=\"\/wp-content\/uploads\/2026\/06\/a19a90ab7be9bd36c21c4f3e9382d832.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n        <\/a><\/p>\n<p>        <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23527\/original.jpg\"><br \/>\n          <img decoding=\"async\" src=\"\/wp-content\/uploads\/2026\/06\/cdb3fa8be6c82b17b51bfa33cb252081.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n        <\/a><\/p>\n<p><noindex>          <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23526\/original.jpg\" class=\"active\"><\/a><\/noindex><\/p>\n<p>          <a rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/images\/23527\/original.jpg\"><\/a><\/p>\n<p>\u00c8 stata pubblicata una nuova versione <strong>Open Image Denoise 2.5.0<\/strong> \u2014 libreria open source di Intel per la riduzione del rumore nelle immagini generate dalla ray tracing. Il progetto \u00e8 distribuito sotto licenza <strong>Apache 2.0<\/strong> ed \u00e8 parte dell'Intel Rendering Toolkit. La versione v2.5.0 \u00e8 stata pubblicata su GitHub <strong>il 2 giugno 2026<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> \u00e8 progettato per rimuovere il rumore Monte Carlo, tipico dei metodi di rendering stocastico, inclusa la path tracing. La libreria fornisce un'API C\/C++ e un insieme di filtri basati su reti neurali, che possono funzionare sia con il buffer colore che con buffer aggiuntivi come <strong>albedo<\/strong> e <strong>normal<\/strong>, per preservare meglio i dettagli dell'immagine.<\/p>\n<p><\/noindex><\/p>\n<p>Il principale cambiamento della versione 2.5.0 \u00e8 stata una notevole ottimizzazione delle prestazioni e una riduzione del consumo di memoria su <strong>GPU Intel con supporto XMX<\/strong> e su processori con <strong>AMX-FP16<\/strong>. Gli sviluppatori non hanno fornito numeri specifici di accelerazione, ma hanno evidenziato questo cambiamento come il primo nell'elenco delle novit\u00e0.<\/p>\n<h4>Principali cambiamenti di Open Image Denoise 2.5.0<\/h4>\n<ul>\n<li>\n<p><strong>Accelerazione su GPU Intel con XMX.<\/strong><br \/>\nLa libreria \u00e8 diventata pi\u00f9 veloce e meno esigente in termini di memoria sui processori grafici Intel, dove sono disponibili le estensioni matriciali XMX. Questo \u00e8 importante per l'anteprima interattiva e il rendering finale, dove la riduzione del rumore pu\u00f2 essere effettuata pi\u00f9 volte man mano che vengono accumulati i campioni.<\/p>\n<\/li>\n<li>\n<p><strong>Ottimizzazione per CPU con AMX-FP16.<\/strong><br \/>\nMigliorato il funzionamento sui processori Intel che supportano AMX-FP16. Tali istruzioni sono utilizzate per accelerare le operazioni matriciali, ottimizzando cos\u00ec i filtri neurali per la riduzione del rumore.<\/p>\n<\/li>\n<li>\n<p><strong>API per l'importazione di semaphore esterni da API grafiche.<\/strong><br \/>\n\u00c8 stata aggiunta un'interfaccia per importare semaphore esterni da Vulkan, Direct3D 12 e altre API grafiche. Questo \u00e8 attualmente supportato per dispositivi CUDA su Windows e Linux, cos\u00ec come per dispositivi HIP su Windows; il supporto per i dispositivi SYCL \u00e8 previsto in una delle versioni future.<\/p>\n<\/li>\n<li>\n<p><strong>Flag per la memoria esterna con allocazione dedicata.<\/strong><br \/>\n\u00c8 stato aggiunto OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. Deve essere combinato con il flag del tipo di descrittore durante l'importazione della memoria esterna assegnata come allocazione dedicata. Questa modifica \u00e8 importante per l'integrazione a basso livello dell'OIDN con i motori e le API grafiche.<\/p>\n<\/li>\n<li>\n<p><strong>Corretto il malfunzionamento dell'output sui dispositivi Apple M5 Pro\/Max.<\/strong><br \/>\nNel backend Metal \u00e8 stato risolto un problema che poteva causare risultati danneggiati su GPU Apple M5 Pro e M5 Max.<\/p>\n<\/li>\n<li>\n<p><strong>Corretto un crash nel Metal.<\/strong><br \/>\nRisolto un errore legato al rilascio eccessivo di MTLDevice. Questo problema poteva manifestarsi dopo ripetute creazioni e distruzioni di dispositivi.<\/p>\n<\/li>\n<li>\n<p><strong>Correzioni nel rilevamento dei dispositivi su Windows.<\/strong><br \/>\nRisolveva un errore che causava un fallimento nel rilevamento del dispositivo o un crash in presenza di alcuni driver grafici integrati Intel obsoleti in Windows. Per questa correzione \u00e8 necessaria una build con <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Open Image Denoise supporta CPU x86-64 con SSE4.1, ARM64, GPU Intel Xe\/Xe2\/Xe3, NVIDIA Turing\/Ampere\/Ada\/Hopper\/Blackwell, AMD RDNA 2\/3\/3.5\/4 e Apple Silicon GPU a partire da M1. Per i backend GPU sono necessari driver aggiornati, e per Apple GPU \u00e8 richiesta macOS Ventura o superiore.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 non \u00e8 un rilascio significativo per l'utente finale, ma piuttosto un importante aggiornamento infrastrutturale: funziona pi\u00f9 velocemente sull'hardware Intel di nuova generazione, si integra meglio con le API grafiche e risolve diversi problemi di piattaforma in Metal e Windows.<\/p>\n<p>Fonte: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/news\/opensource\/18309800\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 Open Image Denoise 2.5.0 \u2014 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 Intel \u0434\u043b\u044f \u043f\u043e\u0434\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0445 \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u043e\u0439 \u043b\u0443\u0447\u0435\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0 \u0438 \u0432\u0445\u043e\u0434\u0438\u0442 \u0432 \u0441\u043e\u0441\u0442\u0430\u0432 Intel Rendering Toolkit. \u0420\u0435\u043b\u0438\u0437 v2.5.0 \u0431\u044b\u043b \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043d\u0430 GitHub 2 \u0438\u044e\u043d\u044f 2026 \u0433\u043e\u0434\u0430. Open Image Denoise \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u041c\u043e\u043d\u0442\u0435-\u041a\u0430\u0440\u043b\u043e, \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0441\u0442\u043e\u0445\u0430\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0440\u0435\u043d\u0434\u0435\u0440\u0438\u043d\u0433\u0430, \u0432\u043a\u043b\u044e\u0447\u0430\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-181876","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 Open Image Denoise 2.5.0 \u2014 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 Intel \u0434\u043b\u044f \u043f\u043e\u0434\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0445 \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u043e\u0439 \u043b\u0443\u0447\u0435\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0 \u0438 \u0432\u0445\u043e\u0434\u0438\u0442 \u0432 \u0441\u043e\u0441\u0442\u0430\u0432 Intel Rendering Toolkit. \u0420\u0435\u043b\u0438\u0437 v2.5.0 \u0431\u044b\u043b \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043d\u0430 GitHub 2 \u0438\u044e\u043d\u044f 2026 \u0433\u043e\u0434\u0430. 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Il progetto \u00e8 distribuito con licenza Apache 2.0 e fa parte dell'Intel Rendering Toolkit. La versione v2.5.0 \u00e8 stata rilasciata su GitHub il 2 giugno 2026. Open Image Denoise \u00e8 progettato per rimuovere il rumore di Monte Carlo, tipico dei metodi di rendering stocastici, inclusi","canonical_url":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/open-image-denoise-2-5-0","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"it_IT","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\udd47Open Image Denoise 2.5.0 | ProHoster","og:description":"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 Open Image Denoise 2.5.0 \u2014 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 Intel \u0434\u043b\u044f \u043f\u043e\u0434\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0448\u0443\u043c\u0430 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0445 \u0442\u0440\u0430\u0441\u0441\u0438\u0440\u043e\u0432\u043a\u043e\u0439 \u043b\u0443\u0447\u0435\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0 \u0438 \u0432\u0445\u043e\u0434\u0438\u0442 \u0432 \u0441\u043e\u0441\u0442\u0430\u0432 Intel Rendering Toolkit. \u0420\u0435\u043b\u0438\u0437 v2.5.0 \u0431\u044b\u043b \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043d\u0430 GitHub 2 \u0438\u044e\u043d\u044f 2026 \u0433\u043e\u0434\u0430. 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