Isiqulatho[Fihla][Bonisa]
Hee, ubusazi, ukuba indawo ye-3D inokwenziwa ukusuka kwidatha ye-2D ngemizuzwana kunye nemodeli ye-NVIDIA ye-NeRF ye-neural enikezela ngemodeli, kwaye iifoto zeso siganeko zinokunikezelwa nge-milliseconds?
Kuyenzeka ukuguqula ngokukhawuleza ingqokelela yeefoto ezimileyo kwindawo yedijithali ye-3D usebenzisa ubuchule olwaziwa njengonikezelo oluguqukileyo, oluvumela i-AI ukuba ilinganise indlela okusebenza ngayo ukukhanya kwihlabathi lokwenyani.
Yenye yeemodeli zokuqala zohlobo lwayo ezinokudibanisa uqeqesho lwenethiwekhi ye-neural olukhawulezayo kunye nonikezelo olukhawulezayo, enkosi kubuchule obuqulunqwe liqela lophando le-NVIDIA eligqibezela umsebenzi ngokukhawuleza okukhulu - phantse kwangoko.
Eli nqaku liza kuvavanya ubunzulu be-NVIDIA ye-NeRF, kubandakanya isantya sayo, iimeko zokusetyenziswa, kunye nezinye izinto.
Ke, yintoni NeRF?
I-NeRF imele imimandla yemitha ye-neural, ebhekisa kubuchule bokwenza iimbono ezizodwa zemiboniso entsonkothileyo ngokucokisa umsebenzi osisiseko oqhubekayo womboniso wevolumetric usebenzisa inani elincinane leembono zongeniso.
Xa unikwe ingqokelela yeefoto ze-2D njengegalelo, iiNeRF zeNVIDIA ziyaqasha amanethiwekhi ukumela kunye nokwenza imiboniso ye-3D.
Inani elincinci leefoto ezivela kwii-engile ezahlukeneyo ezijikeleze indawo ziyafuneka inethiwekhi yomnatha, kunye nendawo yekhamera kwisakhelo ngasinye.
Ngokukhawuleza le mifanekiso ithathwa, kungcono, ngakumbi kwimiboniso enabadlali abahambahambayo okanye izinto.
Umfanekiso we-3D owenziwe yi-AI uya kutshatyalaliswa ukuba kukho ukunyakaza okukhulu ngexesha lenkqubo yokuthatha umfanekiso we-2D.
Ngokuqikelela umbala wokukhanya ophuma kulo lonke icala ukusuka kuyo nayiphi na indawo kwindawo ye-3D, i-NeRF igcwalisa ngokufanelekileyo izikhewu ezishiywe yile datha ukwakha umfanekiso wonke.
Kuba iNeRF inokuvelisa indawo ye-3D kwiimillisecond ezimbalwa emva kokufumana amagalelo afanelekileyo, yeyona ndlela ikhawulezayo yeNeRF ukuza kuthi ga ngoku.
I-NeRF isebenza ngokukhawuleza kangangokuba iphantse yabakho ngoko nangoko, kungoko igama layo. Ukuba ukumelwa okusemgangathweni kwe-3D okufana ne-polygonal meshes yimifanekiso yevektha, ii-NeRFs yimifanekiso yebitmap: ibamba ngokuxineneyo indlela ukukhanya okuphuma ngayo kwinto okanye ngaphakathi kwendawo.
I-NeRF ekhawulezileyo ibalulekile kwi-3D njengoko iikhamera zedijithali kunye noxinzelelo lweJPEG belusekufotweni lwe-2D, luphucula ngokumangalisayo isantya, lula, kunye nokufikelela kwi-3D yokuthatha kunye nokwabelana.
I-NeRF ekhawulezileyo inokusetyenziselwa ukuvelisa ii-avatar okanye iindawo ezipheleleyo zelizwe elibonakalayo.
Ukunika imbeko kwiintsuku zokuqala zeefoto ze-Polaroid, iqela loPhando le-NVIDIA liphinde lenza umfanekiso odumileyo ka-Andy Warhol ethatha ifoto ngoko nangoko kwaye wayiguqulela kwindawo ye-3D esebenzisa i-Instant NeRF.
Ngaba ngokwenene isantya esili-1,000 XNUMX?
Umfanekiso we-3D unokuthatha iiyure ukuyila phambi kwe-NeRF, kuxhomekeke kubucukubhede kunye nomgangatho wayo.
I-AI iyikhawulezise kakhulu inkqubo, kodwa isenokuthatha iiyure ukuqeqesha ngokufanelekileyo. Isebenzisa indlela ebizwa ngokuba yi-multi-resolution hash encoding, evulwe yi-NVIDIA, i-Instant NeRF inciphisa amaxesha onikezelo nge-1,000.
Iphakheji encinci ye-CUDA Neural Networks kunye ne-NVIDIA CUDA Toolkit zisetyenzisiwe ukwenza imodeli. Ngokutsho kwe-NVIDIA, ngenxa yokuba inethiwekhi ye-neural ekhaphukhaphu, inokuqeqeshwa kwaye isetyenziswe kwi-NVIDIA GPU enye, kunye namakhadi e-NVIDIA Tensor Core asebenza ngesantya esikhawulezayo.
Sebenzisa Iimeko
Iimoto eziziqhubayo sesinye sezona zicelo zibalulekileyo kobu buchwepheshe. Ezi zithuthi ubukhulu becala zisebenza ngokuba nomfanekiso-ngqondweni wendawo ezingqongileyo njengoko zihamba.
Nangona kunjalo, ingxaki yetekhnoloji yanamhlanje kukuba ayintsonkothanga kwaye ithatha ixesha elide kakhulu.
Nangona kunjalo, usebenzisa i-Instant NeRF, ekuphela kwento efunekayo kwimoto eziqhubayo ukuqikelela/ukuqonda ubungakanani kunye nokumila kwezinto zelizwe lokwenyani kukufota iifoto ezimile, uzijike zibe yi-3D, emva koko usebenzise olo lwazi.
Kusenokubakho olunye usetyenziso kwimetaverse okanye umdlalo yevidiyo amashishini emveliso.
Kuba i-Instant NeRF ikuvumela ukuba wakhe ii-avatars okanye umhlaba wonke obonakalayo ngokukhawuleza, oku kuyinyani.
Phantse kuncinci Umlinganiswa we-3D Ukwenza umzekelo kuyakufuneka kuba konke okufuneka ukwenze kukuqhuba inethiwekhi ye-neural, kwaye iya kukwenzela umlinganiswa.
Ukongeza, i-NVIDIA isahlola ukusebenzisa le teknoloji kwizicelo ezongezelelweyo ezinxulumene nokufunda koomatshini.
Ngokomzekelo, isenokusetyenziswa ukuguqulela iilwimi ngokuchane ngakumbi kunangaphambili nokuphucula injongo eqhelekileyo ukufunda okunzulu iialgorithms ngoku ezisetyenziselwa uluhlu olubanzi lwemisebenzi.
isiphelo
Imiba emininzi yemizobo ixhomekeke kulwakhiwo lwedatha ethile ukuze kusetyenziswe ukugudiswa kwengxaki okanye ubuncinci.
Eyona ndlela isebenzayo esekwe ekufundeni enikezelwa yi-NVIDIA's multi-resolution hash encoding igxile ngokuzenzekelayo kwiinkcukacha ezifanelekileyo, nokuba ungakanani na umsebenzi.
Ukuze ufunde ngakumbi malunga nendlela izinto ezisebenza ngayo ngaphakathi, jonga igosa GitHub yokugcina.
Shiya iMpendulo