Iyini i-Nvidia DLSS 5? I-DLSS 5 entsha ka-Nvidia imele ukweqa okubalulekile ekunikezeni ubuchwepheshe, isebenzisa i-AI ekhiqizayo kanye nedatha yehluzo ehlelekile ukwenza imidlalo yevidiyo ibe namaqiniso kakhudlwana. Le ntuthuko ithembisa ukusunduza imingcele ye-photorealism kumageyimu wevidiyo, ukudala imihlaba egxilile ecishe ihlukaniseke nengokoqobo. Isikhulu esiphezulu uJensen Huang uveze ukuthi le ndlela entsha inezifiso ezingaphezu kwemidlalo, okungenzeka isabalale nakwezinye izimboni. Le ndatshana ingena ijule endleleni i-DLSS 5 esebenza ngayo, umthelela wayo kwezemidlalo, namandla ayo ezimboni.
I-DLSS 5's Generative AI Ithuthukisa Kanjani Imidwebo I-DLSS, noma i-Deep Learning Super Sampling, ithuthuke kakhulu kusukela yasungulwa. Isizukulwane sesihlanu siphawula ushintsho lwepharadigm ngokuhlanganisa amamodeli e-AI akhiqizayo athuthukile. Ngokungafani nezinguqulo zangaphambilini ezigxile ekukhuphuleni izinga, i-DLSS 5 yakha kabusha futhi ikhiqize imininingwane yesigcawu ngokuqhubekayo.
Ukusuka Ekukhuphukeni Kuya Esizukulwaneni Sesigcawu Sangempela Ukuphindaphinda okwedlule kwe-DLSS kuhlaziye ozimele abanokulungiswa okuphansi ukuze kwakhiwe okukhiphayo kokucaca okuphezulu. I-DLSS 5 iqhubekela phambili ngokusebenzisa i-AI ukuze ibikezele futhi ikhiqize ulwazi olubonakalayo olwalungekho ekunikezelweni kokuqala. Isebenzisa idatha ehleliwe kusukela kunjini yegeyimu—njengejiyomethri, ukwakheka, nama-vectors okukhanyisa—ukuze yazise inqubo yayo yokukhiqiza. Lokhu kuvumela i-AI ukuthi idale ukuthungwa okunemininingwane eyiqiniso, imiphumela engokoqobo yezinhlayiyana, nokukhanya okuguquguqukayo ngesikhathi sangempela. Umphumela uwukuthuthuka okukhulu ekuthembekeni kokubonakalayo ngaphandle kokwenyuka okulinganayo komthwalo wekhompyutha we-GPU.
Iqhaza Ledatha Yezithombe Ezihleliwe "Idatha yezithombe ezihleliwe" iyingxenye ebalulekile. Lokhu kubhekisela kumabhlogo wokwakha ayisisekelo wesigcawu se-3D esiqondwa yinjini yegeyimu. Ngokuphakela le datha enembayo ku-AI, i-DLSS 5 ingenza izibikezelo ezinembe kakhulu.
I-Geometry Buffers: Ihlinzeka nge-AI ngobujamo obuqondile nemingcele yento. Ama-Motion Vectors: Itshela i-AI ukuthi izinto zihamba kanjani ifreme-to-frame ukuze kube nokuvumelana kwesikhashana. I-Material and Lighting Data: Yazisa i-AI ngezakhiwo ezingaphezulu kanye nokusebenzisana okukhanyayo kwemiphumela ye-photorealistic.
Lokhu kusebenzisana phakathi kwe-AI ekhiqizayo nedatha ehlelekile yikho okunika amandla i-photorealism engakaze ibonwe kumageyimu wevidiyo.
Uguquko Lwemidlalo: Bushelelezi, Bubukhali, Obungokoqobo Kakhudlwana Kubadlali bamageyimu, i-DLSS 5 ihumusha kube umuzwa oguqukayo. Izinzuzo eziyinhloko izinzuzo ezinkulu ekusebenzeni kanye nekhwalithi yokubukwayo, ngokuvamile ebonakala njengekhethelo.
Ukusebenza Kuhlangana Nokwethembeka Abadlali bamageyimu bazothola izilinganiso zozimele eziphezulu kuzilungiselelo zokubukwayo eziphezulu. Ngenxa yokuthi i-GPU inikezela ngokulungiswa okuphansi kwangaphakathi futhi ivumela i-DLSS 5's AI ukuthi yakhe kabusha isithombe esihlanzekile, esihle kakhulu, i-headroom yokusebenza iyakhululwa. Lokhu kusho ukudlala igeyimu okushelelayo ezihlokweni ezifunwayo, ngisho nasezibonisini ezinokulungiswa okuphezulu. Isici esikhiqizayo siqinisekisa ukuthi lokhu kuthuthukiswa kokusebenza akuzi ngezindleko zemininingwane. Esikhundleni salokho, yengeza imininingwane, ithuthukisa ukuthungwa, i-anti-aliasing, kanye nekhwalithi yesithunzi ngaphezu kwalokho ukuhumusha okuvamile okungafinyelelwa ngokomdabu.
Ukuthuthukiswa Kwegeyimu Yokufakazela Ikusasa I-DLSS 5 iphinde inike amandla abathuthukisi. Bangakwazi ukuklama imihlaba eyinkimbinkimbi kakhulu futhi enothe ngokubonakalayo, bazi ukuthi ubuchwepheshe bokunikezela nge-AI bungabhekana nokuphakamisa okusindayo. Lokhu kungaholela ekwakhiweni kwegeyimu okufisayo, enezindawo eziminyene, i-physics ethuthuke kakhulu, nezigcawu zesilinganiso esikhulu. Ukuphishekela i-photorealism ekugcineni emidlalweni yevidiyo kuba yinto efinyelelekayo.
Ngaphandle Kwemidlalo: Izifiso Ezibanzi zikaNvidia Nakuba amageyimu kuwuhlelo olusetshenziswa ngokushesha, imithelela yalobu buchwepheshe mikhulu. Umbono we-CEO uJensen Huang we-DLSS 5 udlulela ngale komkhakha wezokuzijabulisa.
Izicelo Ezingenzeka Zezimboni Nezobuchwepheshe Amandla asemqoka—ukusebenzisa i-AI ukuze kukhiqizwe okubonwayo okuthembekile okuvela kudatha ephumelelayo—kunokukhanga kwemboni ehlukahlukene. Cabanga ngokubonwa kwezakhiwo lapho ukuhamba kwesikhathi sangempela kuyi-photorealistic ngaphandle kokunikezwa kwangaphambili. Izitudiyo zefilimu nezopopayi zingayisebenzisela ukunikezwa kokubuka kuqala okusheshayo, okuphindaphindwayo. Emikhakheni efana nokulingisa nokuqeqeshwa, ukusuka kwezokundiza kuye kwezokwelapha, i-DLSS 5 ingadala izindawo ezingokoqobo ezingokoqobo. Ubuchwepheshe bungasheshisa nokuthuthukiswa kwe-metaverse namanye amawele edijithali e-3D ayinkimbinkimbi.
I-Generative AI Landscape Iyakhula Umsebenzi kaNvidia nge-DLSS 5 uyingxenye yethrendi enkulu lapho i-AI ekhiqizayo ibumba kabusha ukudalwa kokuqukethwe. Njengoba kubonakala ezinhlelweni ezifana nebhizinisi elihlangene le-OpenAI elingase libe khona ngokulingana kwangasese, ukutshalwa kwezimali kanye nokusetshenziswa kwe-AI kunwebeka ngokushesha. Nokho, la mandlaidinga ukuthuthukiswa okunomthwalo wemfanelo, ikakhulukazi njengoba amathuluzi ekwazi ukudala imidiya engokoqobo, ukukhathazeka okugqanyiswe ukwanda kwama-AI deepfakes emikhonyongeni eku-inthanethi.
Isiphetho kanye Nezinyathelo Ezilandelayo I-DLSS 5 kaNvidia isethelwe ukuchaza kabusha ikhompuyutha ebonakalayo. Ngokusebenzisa i-AI ekhiqizayo kanye nedatha ehlelekile, iletha umfutho omkhulu ku-photorealism emidlalweni yevidiyo ngenkathi ibeka isisekelo sokuqamba izinto ezintsha kuzo zonke izimboni eziningi. Lobu buchwepheshe buyisibonelo sokuthi i-AI isuka ekuhlaziyweni iye ekudaleni, yakha amaqiniso amasha kusukela phansi kuya phezulu. Ukuze uqonde ukuthi i-AI ingaletha kanjani inani elibambekayo kumongo webhizinisi lakho, hlola izinhlelo zokusebenza ezingokoqobo ku-webinar yethu ezayo yamahhala ekuzuzeni i-ROI yangempela nge-AI.