{"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\/ro\/blog\/news\/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>A fost publicat un nou release <strong>Open Image Denoise 2.5.0<\/strong> \u2014 biblioteca liber\u0103 Intel pentru reducerea zgomotului \u00een imagini generate prin ray tracing. Proiectul este distribuit sub licen\u021b\u0103 <strong>Apache 2.0<\/strong> \u0219i este inclus \u00een Intel Rendering Toolkit. Versiunea v2.5.0 a fost publicat\u0103 pe GitHub <strong>pe 2 iunie 2026<\/strong>.<\/p>\n<p><noindex><\/p>\n<p><a rel=\"nofollow\" href=\"https:\/\/github.com\/RenderKit\/oidn\">Open Image Denoise<\/a> este proiectat pentru a elimina zgomotul Monte Carlo, caracteristic metodelor stochastice de randare, inclusiv path tracing. Biblioteca ofer\u0103 un API C\/C++ \u0219i un set de filtre bazate pe re\u021bele neuronale, care pot func\u021biona at\u00e2t cu bufferul de culoare, c\u00e2t \u0219i cu buffer-uri suplimentare precum <strong>albedo<\/strong> \u0219i <strong>normal<\/strong>, pentru a p\u0103stra mai bine detaliile imaginii.<\/p>\n<p><\/noindex><\/p>\n<p>Principala modificare \u00een versiunea 2.5.0 \u2013 o optimizare semnificativ\u0103 a performan\u021bei \u0219i o reducere a consumului de memorie pe <strong>GPU Intel cu suport XMX<\/strong> \u0219i pe procesoare cu <strong>AMX-FP16<\/strong>. Dezvoltatorii nu au furnizat cifre concrete ale acceler\u0103rii, dar au eviden\u021biat separat aceasta ca prima modificare din lista de lansare.<\/p>\n<h4>Principalele modific\u0103ri Open Image Denoise 2.5.0<\/h4>\n<ul>\n<li>\n<p><strong>Accelerare pe GPU Intel cu XMX.<\/strong><br \/>\nBiblioteca a devenit mai rapid\u0103 \u0219i mai economic\u0103 \u00een ceea ce prive\u0219te memoria pe procesoarele grafice Intel, unde sunt disponibile extensiile matriciale XMX. Acest lucru este important pentru previzualiz\u0103ri interactive \u0219i randarea final\u0103, unde reducerea zgomotului poate fi efectuat\u0103 de mai multe ori pe m\u0103sur\u0103 ce se acumuleaz\u0103 mostre.<\/p>\n<\/li>\n<li>\n<p><strong>Optimizare pentru CPU cu AMX-FP16.<\/strong><br \/>\nPerforman\u021ba pe procesoarele Intel cu suport AMX-FP16 a fost \u00eembun\u0103t\u0103\u021bit\u0103. Aceste instruc\u021biuni sunt utilizate pentru a accelera opera\u021biile matriciale, ceea ce se potrive\u0219te bine filtrelor neuronale de reducere a zgomotului.<\/p>\n<\/li>\n<li>\n<p><strong>API pentru importul semafoarelor externe din API-uri grafice.<\/strong><br \/>\nA fost ad\u0103ugat un interface pentru importul semafoarelor externe din Vulkan, Direct3D 12 \u0219i alte API-uri grafice. Acum este suportat pentru dispozitive CUDA \u00een Windows \u0219i Linux, precum \u0219i pentru dispozitive HIP \u00een Windows; suportul pentru dispozitive SYCL este promis \u00eentr-una dintre versiunile viitoare.<\/p>\n<\/li>\n<li>\n<p><strong>Fluier pentru memorie extern\u0103 cu alocare dedicat\u0103.<\/strong><br \/>\nA fost ad\u0103ugat OIDN_EXTERNAL_MEMORY_TYPE_FLAG_DEDICATED. Acesta trebuie combinat cu fluturatul tipului descriptor atunci c\u00e2nd se import\u0103 memorie extern\u0103, alocat\u0103 ca alocare dedicat\u0103. Aceast\u0103 modificare este important\u0103 pentru integrarea la nivel sc\u0103zut a OIDN cu motoare \u0219i API-uri grafice.<\/p>\n<\/li>\n<li>\n<p><strong>Corectarea ie\u0219irii deteriorate pe Apple M5 Pro\/Max.<\/strong><br \/>\n\u00cen backend-ul Metal, a fost corectat\u0103 problema care cauzase generarea unui rezultat deteriorat pe GPU Apple M5 Pro \u0219i M5 Max.<\/p>\n<\/li>\n<li>\n<p><strong>Corectarea erorilor fatale \u00een Metal.<\/strong><br \/>\nA fost rezolvat\u0103 o eroare legat\u0103 de eliberarea excesiv\u0103 a MTLDevice. Eroarea putea ap\u0103rea dup\u0103 crearea \u0219i distrugerea repetat\u0103 a dispozitivelor.<\/p>\n<\/li>\n<li>\n<p><strong>Corec\u021bii pentru detectarea dispozitivelor \u00een Windows.<\/strong><br \/>\nA fost corectat\u0103 o eroare care provoca e\u0219ecul detect\u0103rii dispozitivelor sau sc\u0103derea brusc\u0103 a acestora \u00een Windows, \u00een prezen\u021ba anumitor drivere vechi pentru grafica integrat\u0103 Intel. Aceast\u0103 corec\u021bie necesit\u0103 o compilare cu <strong>oneAPI DPC++ Compiler 6.1.0<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>Open Image Denoise suport\u0103 CPU x86-64 cu SSE4.1, ARM64, GPU Intel Xe\/Xe2\/Xe3, NVIDIA Turing\/Ampere\/Ada\/Hopper\/Blackwell, AMD RDNA 2\/3\/3.5\/4 \u0219i GPU Apple Silicon \u00eencep\u00e2nd cu M1. Pentru backend-urile GPU sunt necesare drivere actualizate, iar pentru GPU-urile Apple - macOS Ventura sau mai nou.<\/p>\n<p><strong>Open Image Denoise 2.5.0<\/strong> \u2014 nu este o versiune mare func\u021bional\u0103 pentru utilizatorul final, ci mai degrab\u0103 o actualizare infrastructural\u0103 important\u0103: func\u021bioneaz\u0103 mai rapid pe noul hardware Intel, se integreaz\u0103 mai bine cu API-urile grafice \u0219i corecteaz\u0103 c\u00e2teva probleme de platform\u0103 \u00een Metal \u0219i Windows.<\/p>\n<p>Sursa: <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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - 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