{"id":73266,"date":"2024-07-31T04:48:07","date_gmt":"2024-07-31T04:48:07","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=73266"},"modified":"2024-07-31T04:48:07","modified_gmt":"2024-07-31T04:48:07","slug":"nvidia-yeni-teknolojisiyle-oyunlarda-yeni-bir-devrim-yapacak","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2024\/07\/31\/nvidia-yeni-teknolojisiyle-oyunlarda-yeni-bir-devrim-yapacak\/","title":{"rendered":"Nvidia yeni teknolojisiyle oyunlarda yeni bir devrim yapacak"},"content":{"rendered":"

<\/span> Oyunlardaki grafik kalitesi her ge\u00e7en g\u00fcn art\u0131yor ve materyallerin neredeyse ger\u00e7ek d\u00fcnyadaki gibi g\u00f6r\u00fcnd\u00fc\u011f\u00fc bir d\u00f6neme do\u011fru uzan\u0131yoruz. Ancak, ger\u00e7ek d\u00fcnyadaki bir malzemenin g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc ve hissini oyunlara yans\u0131tmak hem b\u00fcy\u00fck zaman hem de i\u015flem g\u00fcc\u00fc gerektiriyor. Nvidia<\/strong> ise \u201cNeural Appearance Models<\/strong>\u201d adl\u0131 yeni bir yakla\u015f\u0131m sunarak ger\u00e7ek zamanl\u0131 render<\/strong> i\u015flemini radikal olarak h\u0131zland\u0131rmay\u0131 vadediyor. <\/figure>\n

Oyunlarda yeni g\u00f6rsel devrim<\/b><\/p>\n

Nvidia, Neural Appearance Models<\/strong> (N\u00f6ral G\u00f6r\u00fcn\u00fcm Modelleri) ile birlikte hesaplama a\u00e7\u0131s\u0131ndan yo\u011fun g\u00f6lgelendirme grafiklerine g\u00fcvenmek yerine, ince ayr\u0131nt\u0131lardan karma\u015f\u0131k \u0131\u015f\u0131k efektlerine kadar bir nesnenin her ayr\u0131nt\u0131s\u0131n\u0131 yakalamak i\u00e7in sinir a\u011flar\u0131n\u0131<\/strong> kullan\u0131yor<\/strong>. Bu yakla\u015f\u0131m yaln\u0131zca daha h\u0131zl\u0131 hesaplama sa\u011flamakla kalm\u0131yor, ayn\u0131 zamanda \u00f6zellikle karma\u015f\u0131k g\u00f6rsel sahneler i\u00e7in faydal\u0131 olan daha ayr\u0131nt\u0131l\u0131 i\u015fleme de sa\u011fl\u0131yor. Firmaya g\u00f6re bu yenilik\u00e7i yakla\u015f\u0131m, geleneksel y\u00f6ntemlere k\u0131yasla 24 kata kadar<\/strong> performans art\u0131\u015f\u0131<\/strong> sa\u011fl\u0131yor.<\/p>\n

<\/span> Nvidia, ge\u00e7ti\u011fimiz y\u0131l 16 kat doku detay sa\u011flayabilen Neural Compression (N\u00f6ral S\u0131k\u0131\u015ft\u0131rma) tekni\u011fini tan\u0131t\u0131rken bu yeni y\u00f6nteminde doku olu\u015fturma ve g\u00f6lgelendirme<\/strong> performans\u0131n\u0131n h\u0131zland\u0131r\u0131lmas\u0131na odaklan\u0131yor. Yeni yakla\u015f\u0131m, sanat\u00e7\u0131lar taraf\u0131ndan yakalanan ger\u00e7ek nesneler, \u00f6l\u00e7\u00fcmler veya \u00fcretken yapay zeka kullan\u0131larak metin istemlerinden \u00fcretilenler dahil olmak \u00fczere birden fazla kaynaktan gelen t\u00fcm materyallere uygulanabiliyor. <\/figure>\n

\u00a0<\/p>\n

<\/span> Yeni model, toz, su lekeleri, \u00e7izik, ayd\u0131nlatma ve hatta \u00e7e\u015fitli \u0131\u015f\u0131k kaynaklar\u0131 ve renklerin kar\u0131\u015f\u0131m\u0131yla ortaya \u00e7\u0131kan \u0131\u015f\u0131nlar gibi inan\u0131lmaz derecede hassas ayr\u0131nt\u0131lar gibi i\u015flenecek nesnenin her bir ayr\u0131nt\u0131s\u0131n\u0131 yakalamaya yard\u0131mc\u0131 oluyor. En yal\u0131n haliyle \u00f6zetlemek gerekirse: Oyun i\u00e7i nesneler her zamankinden daha iyi g\u00f6r\u00fcnecek<\/strong>. <\/figure>\n
<\/span> Haber i\u00e7indeki \u00f6rneklerde de g\u00f6r\u00fclece\u011fi \u00fczere yeni teknik ile i\u015flenen materyaller referans g\u00f6r\u00fcnt\u00fcn\u00fcn ayr\u0131nt\u0131lar\u0131yla b\u00fcy\u00fck oranda e\u015fle\u015fiyor. Ayn\u0131 zamanda dedi\u011fimiz gibi, bu g\u00f6r\u00fcnt\u00fcn\u00fcn al\u0131nmas\u0131 da 24 kata kadar daha h\u0131zl\u0131 oluyor. Neural Materials yakla\u015f\u0131m\u0131 kullan\u0131larak i\u015flenen t\u00fcm modeller 16K’ya kadar doku \u00e7\u00f6z\u00fcn\u00fcrl\u00fc\u011f\u00fc sunarak oyunlarda derinlemesine ve ayr\u0131nt\u0131l\u0131 nesneler sunuyor. Bu rafine modeller oyunlara da daha az y\u00fck bindiriyor ve daha \u00f6nce m\u00fcmk\u00fcn olandan daha iyi performans sa\u011fl\u0131yor. <\/figure>\n

A\u00e7\u0131k\u00e7as\u0131 Nvidia\u2019n\u0131n yeni yakla\u015f\u0131m\u0131, dokular\u0131n ve nesnelerin ger\u00e7ek zamanl\u0131 olarak i\u015flenme \u015feklini temelden de\u011fi\u015ftirme potansiyeline sahip. Geli\u015ftiriciler ve i\u00e7erik olu\u015fturucular, uygulamalar\u0131n\u0131n performans\u0131n\u0131 art\u0131r\u0131rken daha ger\u00e7ek\u00e7i materyalleri daha h\u0131zl\u0131 olu\u015fturabilirler. Bu teknolojinin daha da s\u00fcr\u00fckleyici ve ayr\u0131nt\u0131l\u0131 bir deneyim sa\u011flamak i\u00e7in gelecekteki oyunlarda ve uygulamalarda kullan\u0131lmas\u0131 bekleniyor. Dolay\u0131s\u0131yla yeni bir DLSS an\u0131n\u0131n e\u015fi\u011findeyiz<\/strong>.<\/p>\n\n

Kaynak\u00a0 :\u00a0https:\/\/www.donanimhaber.com\/nvidia-yeni-teknolojisiyle-oyunlarda-yeni-bir-devrim-yapacak–180065<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Oyunlardaki grafik kalitesi her ge\u00e7en g\u00fcn art\u0131yor ve materyallerin neredeyse ger\u00e7ek d\u00fcnyadaki gibi g\u00f6r\u00fcnd\u00fc\u011f\u00fc bir d\u00f6neme do\u011fru uzan\u0131yoruz. Ancak, ger\u00e7ek d\u00fcnyadaki bir malzemenin g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc ve hissini oyunlara yans\u0131tmak hem b\u00fcy\u00fck zaman hem de i\u015flem …<\/p>\n","protected":false},"author":1,"featured_media":73267,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[1854,131,4220,1321],"class_list":["post-73266","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-gercek","tag-oyun","tag-yaklasim","tag-zaman"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/73266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=73266"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/73266\/revisions"}],"predecessor-version":[{"id":73272,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/73266\/revisions\/73272"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/73267"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=73266"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=73266"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=73266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}