I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields
I-Mip-NeRF ilungisa izinto zobuciko ezifiphele, ezimangelengele ezihlupha i-NeRF yasekuqaleni lapho unikeza izigcawu ebangeni elihlukile noma izinqumo.
Uhlolojikelele
It does this by tracing cones instead of infinitely thin rays, making 3D scene rendering both sharper and faster to train.
I-Deep Dive
I-NeRF yasekuqaleni isampula yesehlakalo emisebeni emincane, iphuzu elilodwa ngesikhathi, futhi iphakela indawo ngayinye ye-3D ibe yinethiwekhi ye-neural. Inkinga: iphuzu elilodwa alinaki ukuthi i-pixel empeleni ihlanganisa kangakanani indawo yesehlakalo. Iphikseli eduze kwekhamera ibona indawo encane; iphikseli efanayo kude ibona enkulu. Ukuzisampula ngendlela efanayo kubangela ukubiyelwa - ukucwayiza kanye nama-jaggies njengoba usondeza noma unyakaza. I-Mip-NeRF (Barron et al., 2021) ithatha indawo yomsebe ngamunye ngekhoni futhi iwuhlukanise ube ama-conical frustums. Esikhundleni sokubhala ngekhodi iphuzu, ibhala ngekhodi isifunda ngaphakathi kwe-frustum ngayinye isebenzisa umbhalo wekhodi ohlanganisiwe wendawo (IPE), ukulinganisa ivolumu nge-Gaussian. Lokhu kuvumela inethiwekhi ye-multiscale ukuthi inikeze noma yisiphi isixazululo ngokuhlanzekile, iphutha lokusika kanye nesikhathi sokuqeqeshwa kakhulu.
I-Technical Insight
Iqhinga eliyinhloko wumbhalo wekhodi ohlanganisiwe wendawo. I-NeRF ejwayelekile ibeka iphuzu ngokusebenzisa i-sine kanye nemisebenzi ye-cosine kumafrikhwensi amaningi. I-Mip-NeRF esikhundleni salokho ilinganisa i-conical frustum njenge-multivariate Gaussian futhi ibala inani elilindelekile lalawo ma-sinusoid ngaphezu kwaleyo Gaussian. Izici zemvamisa ephezulu ezihluka kakhulu ngaphakathi kwe-frustum enkulu zincipha ngokuzenzakalelayo ziye ku-zero, kuze kube manje noma izifunda ezimahhadla zisebenzisa ulwazi oluzinzile lwemvamisa ephansi - ngqo impatho emelene ne-aliasing yama-mipmaps kumifanekiso yakudala.
I-Strategic Impact
Isivinini nesikali
I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.
Yakha ukukhetha
Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.
Ithimba kanye nokusebenza komsebenzi
Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.
Ikusasa Le-Mip-NeRF kanye Nezinkambu Zokukhanya Ezinqatshelwe
I-Mip-NeRF yethule umndeni wezinkambu ezimelene nama-aliased. I-Mip-NeRF 360 inwebe amakhoni ezigcawini zangaphandle ezingenamkhawulo nge-warp efinyezwayo, futhi i-Zip-NeRF ixube i-anti-aliasing esekelwe kukhoni ngokumelwa okusheshayo kwegridi ye-hashi ukuze uthole kokubili ikhwalithi nesivinini. Lindela umbono ohlanganisiwe we-frustum ukuze uqhubeke ufudukela ku-Gaussian splattting kanye namapayipi esikhathi sangempela, lapho ukunikezwa kwe-multiscale, alias-free kumafoni namahedisethi kuwumgomo we-AR, imephu, nokuthwebula ngokugxilisa.
Ukuqaliswa Komhlaba Wangempela
Ukunikeza into ethwebuliwe ngokuhlanzekile kusibuki somkhiqizo okuvumela abasebenzisi ukuthi bahlehlise ukusuka ekubukeni kwegumbi eligcwele ukuya emininingwaneni engaphezulu ngaphandle kokucwayiza.
Ukwakha kabusha izigcawu ezinkulu zangaphandle (nge-Mip-NeRF 360) ngokuvakasha okubonakalayo kanye nezindlela zokuhamba zezindlu ezithengiswayo lapho ikhamera ihamba phakathi kwebanga elibanzi lokujula.
Ikhiqiza isithombe esingaguquguquki sokuqeqeshwa ngokulungiswa okuningi kwamarobhothi noma izifanisi zokushayela ezizimele.
Ukukhiqiza amafreyimu okubuka inoveli okwenziwa efilimu kanye nokubukwa kuqala kwe-VFX lapho ukuqamba amanga kungaphula isibhamu.
Izingozi & Guardrails
Amalungelo ezithombe kanye nemvume kungaba ubungozi bezomthetho uma ukuvela kungacacile.
Ukusebenza kwemodeli kungahluka kukho konke ukukhanya, izibalo zabantu, kanye nezindawo.
Okuhle okungelona iqiniso kungase kungabonakali ngaphandle uma izinga lokuzethemba liqashelwa.
Ukuqalisa Umhlahlandlela
Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha.
Hlola ngedatha efana nezimo zangempela zokukhiqiza.
Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.
Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Izinkambu ze-Neural Radiance
Imibuzo evame ukubuzwa
What is Mip-NeRF and Anti-Aliased Radiance Fields?
I-Mip-NeRF ilungisa izinto zobuciko ezifiphele, ezimangelengele ezihlupha i-NeRF yasekuqaleni lapho unikeza izigcawu ebangeni elihlukile noma izinqumo. Ikwenza lokhu ngokulandela amakhoni esikhundleni semisebe emincane ngokungenamkhawulo, okwenza isigcawu se-3D sinikeze kokubili ukucijila nokushesha ukuqeqesha.
Imuphi umumo wejiyomethri iMip-NeRF awulandelela endaweni yesehlakalo esikhundleni somsebe omncane osetshenziswa i-NeRF yasekuqaleni?
I-Mip-NeRF isakaza ikhoni kusuka kukhamera ngephikseli ngayinye bese iyihlukanisa ibe ama-conical frustums, ithwebula ivolumu embozwe yiphikseli.
Lithini igama lombhalo wekhodi we-Mip-NeRF othatha isikhundla sombhalo wekhodi ojwayelekile?
I-Mip-NeRF yethula umbhalo wekhodi ohlanganisiwe wesimo, ohlanganisa isifunda (i-Frustum ecishe ibe yi-Gaussian) kunephoyinti elilodwa.
Kungani i-NeRF yasekuqaleni ikhiqiza i-aliasing lapho ibanga lekhamera lishintsha?
Isampula lephoyinti lereyi emincane liziba umkhondo wephikseli, ukuze amaphikseli aseduze nakude aphathwe ngokufanayo, abangele ama-jaggies nokucwayiza.
I-Mip-NeRF ilinganisa kanjani isifunda ngaphakathi kwe-conical frustum yombhalo wekhodi?
I-frustum ngayinye ilinganiselwa nge-Gaussian ehlukahlukene, futhi umbhalo wekhodi ubala inani elilindelekile lama-sinusoid ngaphezu kwaleyo Gaussian.
Kwenzekani ezicini zombhalo wekhodi wemvamisa ephezulu ngaphakathi kwe-frustum enkulu?
Ngoba ama-sinusoid emvamisa ephezulu ahluka kakhulu ku-frustum enkulu, ukuhlanganisa phezu kwe-Gaussian kuwaqhubela ku-zero, okunikeza i-anti-aliasing efana ne-mipmap.