I-VISual AI GUIDE

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

I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields ingeyokugeleza komsebenzi wokubona ngekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule.

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-Mastering 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. Ikwenza lokhu ngokulandela amakhoni esikhundleni semisebe emincane ngokungenamkhawulo, okwenza isigcawu se-3D sinikeze kokubili ukucijila nokushesha ukuqeqesha. I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields ingeyokugeleza komsebenzi wokubona ngekhompyutha okuhumusha noma okukhiqiza imidiya ebonakalayo ukuze ihlaziywe, isebenze, futhi isungule. Ukuze wakhe ukuqonda okujulile, phatha i-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields ebhalansisa ngokunemba namaqiniso okusebenza njengekhwalithi yedatha, ukuhluka kokukhanya, nokuvumelana kwamalebula. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ngesikhathi esifanayo, amalungelo ezithombe kanye nemvume kungaba ubungozi bomthetho uma ukutholakala kungacacile. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.

I-Strategic Impact

I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini.

I-Visual AI ingakwazi ukuhlola, ukutholwa, nokumaka imisebenzi esikalini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha.

Amathimba aqanjiwe angakwazi ukulinganisa imiqondo ngokushesha ngezibuyekezo ezimbalwa ezenziwa mathupha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini.

Imisebenzi ingasebenzisa amasiginali wesithombe nawevidiyo obekunzima ukuwenza ngaphambilini. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

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.

Amaphethini Okusebenzisa

I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields iyasebenza

Ukunikeza into ethwebuliwe ngokuhlanzekile kusibuki somkhiqizo okuvumela abasebenzisi ukuthi bahlehlise ukusuka ekubukeni kwegumbi eligcwele ukuya emininingwaneni engaphezulu ngaphandle kokucwayiza.

Ukunikeza into ethwebuliwe ngokuhlanzekile kusibuki somkhiqizo okuvumela abasebenzisi ukuthi bahlehlise ukusuka ekubukeni kwegumbi eligcwele phansi kuya emininingwaneni emihle ngaphandle kokuntweza Amathimba ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields iyasebenza

Ukwakha kabusha izigcawu ezinkulu zangaphandle (nge-Mip-NeRF 360) zokuvakasha okubonakalayo kanye nezindlela zokuhamba zezindlu ezithengiswayo lapho ikhamera ihamba phakathi kobubanzi obujulile Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields iyasebenza

Ikhiqiza isithombe esingaguquguquki sokuqeqeshwa ngokulungiswa okuningi kwamarobhothi noma izifanisi zokushayela ezizimele.

Ukukhiqiza isithombe esingaguquguquki sokuqeqeshwa ngezinqumo eziningi zamarobhothi noma izifanisi zokushayela ezizimele Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi elandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-Mip-NeRF kanye ne-Anti-Aliased Radiance Fields iyasebenza

Ukukhiqiza amafreyimu okubuka inoveli okwenziwa efilimu kanye nokubukwa kuqala kwe-VFX lapho ukuqamba amanga kungaphula isibhamu.

Ukukhiqiza amafreyimu wokubuka anoveli wokwenziwa wefilimu kanye nokubukwa kuqala kwe-VFX lapho ukuqamba amanga kungaphula isibhamu Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

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.

Chaza indlela yokwamukela yokunemba, ukukhumbula, nezindleko zamaphutha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Hlola ngedatha efana nezimo zangempela zokukhiqiza.

Hlola ngedatha efana nezimo zangempela zokukhiqiza. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu.

Engeza isibuyekezo somuntu ukuze uthole ukuzethemba okuphansi noma izibikezelo zomthelela omkhulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha.

Landelela ukukhukhuleka kwemodeli bese uqinisekisa kabusha ngemva kwezinguquko zekhamera noma zesethi yedatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole

I-Computer Vision

Qonda amasistimu ayisisekelo anika amandla i-AI ebonakalayo.

Funda Umhlahlandlela

I-AI Image Generation

Hlola ukugeleza komsebenzi wokudala kanye nokuhwebelana kwamamodeli.

Funda Umhlahlandlela