Plenoxels da Voxel Radiance Filaye
Plenoxels ya nuna cewa zaku iya sake gina yanayin 3D tare da sakamakon ingancin NeRF ba tare da wata hanyar sadarwa ba kwata-kwata - kawai grid na voxels da ke adana launi da yawa.
Dubawa
The result trains roughly 100x faster than the original NeRF while matching its visual quality.
Zurfafa nutsewa
NeRF ya cimma photorealism amma yana jinkirin saboda kowane samfurin yana buƙatar wucewa ta gaba ta hanyar hanyar sadarwa mai zurfi, kuma horo na iya ɗaukar sa'o'i ko kwanaki. Plenoxels (Sara Fridovich-Keil, Alex Yu et al., 2022) sun yi tambaya mai tsokana: shin hanyar sadarwar ma ta zama dole? Amsar su a'a ce. Suna wakiltar wurin azaman grid na voxel 3D kaɗan. Kowace voxel da aka mallake tana adana ƙima guda ɗaya tare da madaidaitan ma'aunin jituwa waɗanda ke ɓoye launi mai dogaro da gani. Don samar da pixel, tsarin trilinearly yana haɗa waɗannan dabi'u tare da ray kuma ya haɗa su tare da daidaitaccen ma'anar ƙara. Saboda babu hanyar sadarwa, an inganta dukkan abu kai tsaye tare da saukowa mai zurfi akan ƙimar voxel, wanda aka tsara don santsi. Sakamakon kanun labarai: kwatankwacin inganci zuwa NeRF, horarwa a cikin mintuna akan GPU guda.
Fahimtar Fasaha
Launi mai dogaro da gani shine ɓangaren wayo. Maimakon hanyar sadarwa ta fitar da RGB a kowane kusurwar kallo, kowane voxel yana adana ƙaramin saiti na daidaitawa mai daidaitawa (SH) a kowane tashar launi. Ƙididdigar tushen SH a cikin jagoran ray yana sake gina yadda launin wannan batu ya canza tare da ra'ayi - yana ɗaukar manyan bayanai da tunani. Baƙon abu ne mai zaman kansa. Bambance-bambancen interpolation na trilinear tare da ma'anar ƙara yana sa kowane ƙimar voxel ta zama mai horarwa kai tsaye, don haka haɓakawa madaidaiciya ce, daidaitaccen salon mafi ƙanƙanta-squares mara hanyar sadarwa.
Dabarun Tasiri
Gudu da sikelin
Kayayyakin AI na iya sarrafa aiki da bincike, ganowa, da ayyuka masu alama a sikelin.
Gina zaɓuɓɓuka
Ƙungiyoyin ƙirƙira za su iya samar da ra'ayoyi cikin sauri tare da ƙarancin bita da hannu.
Ƙungiya da aikin aiki
Ayyuka na iya amfani da siginar hoto da bidiyo waɗanda a baya suke da wahalar aiwatarwa.
Makomar Plenoxels da Voxel Radiance Filaye
Plenoxels ya tabbatar da cewa wakilcin, ba hanyar sadarwar jijiyoyi ba, yana fitar da ingancin NeRF - binciken da ya sake fasalin filin. Kai tsaye ya yi wahayi zuwa ga fayyace hanyoyin haɗaɗɗiyar hanyoyin kamar Instant-NGP's hash grids da, a ƙarshe, 3D Gaussian Splatting, wanda yanzu ya mamaye ma'anar haske na ainihin-lokaci. Yi tsammanin ci gaba da motsi zuwa bayyane, abubuwan da suka dace na GPU waɗanda ke horar da su cikin daƙiƙa kuma suna bayarwa a cikin ainihin lokaci, tare da hanyoyin sadarwar jijiyoyi da aka yi amfani da su zaɓaɓɓu maimakon azaman babban kantin sayar da fage.
Aiwatar da Gaskiyar Duniya
Da sauri sake gina wani abu da aka kama cikin kadara ta 3D a cikin mintuna don kasuwancin e-commerce ko digitization na gidan kayan gargajiya, maimakon awanni jira.
Samfura da sauri na haɗin ra'ayi na sabon labari akan GPU ɗin mabukaci guda ɗaya don bincike da ilimi.
Samar da abubuwan da za a iya daidaitawa, bayyanannun voxel waɗanda masu fasaha za su iya dubawa kai tsaye da datsa, ba kamar ma'aunin ma'aunin cibiyar sadarwa ba.
Yin hidima a matsayin misali na koyarwa cewa wakilcin wurin, ba ilmantarwa mai zurfi ba, shine abin da ke haifar da sakamako na ainihi.
Hatsari & Tsare-tsare
Haƙƙoƙin hoto da yarda na iya zama haxarin doka idan ba a fayyace ba.
Ayyukan samfuri na iya bambanta a ko'ina cikin haske, ƙididdiga, da mahalli.
Ƙarya tabbataccen ƙila ba za a iya lura da shi ba sai dai idan an kula da ƙofofin amincewa.
Taswirar Hanya
Ƙayyade ma'auni na karɓa don daidaito, tunowa, da farashi na kuskure.
Gwada tare da bayanan da suka dace da ainihin yanayin samarwa.
Ƙara bita na ɗan adam don ƙarancin amincewa ko tsinkaya mai tasiri.
Bi diddigin ƙirar ƙira kuma sake ingantawa bayan canje-canjen kamara ko saitin bayanai.
Ci gaba da Bincike
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Jagora na gaba
Filin Radiyan Jijiya
Tambayoyin da ake yawan yi
What is Plenoxels and Voxel Radiance Fields?
Plenoxels ya nuna cewa zaku iya sake gina yanayin 3D tare da sakamakon ingancin NeRF ba tare da wata hanyar sadarwa ba kwata-kwata - kawai grid na voxels da ke adana launi da yawa. Sakamakon yana horar da kusan 100x da sauri fiye da ainihin NeRF yayin da ya dace da ingancin gani.
Menene zaɓin ƙira mafi ban mamaki a cikin Plenoxels idan aka kwatanta da NeRF?
Plenoxels yana adana wurin kai tsaye a cikin grid na voxel kuma yana haɓaka waɗannan dabi'u, ba tare da hanyar sadarwa na jijiyoyi a cikin bututun ba.
Menene kowane nau'in voxel da ke cikin Plenoxels ke adanawa don ɗaukar launi mai dogaro da gani?
Kowane voxel yana riƙe da sarari tare da madaidaitan ma'aunin daidaituwa a kowane tashar launi, waɗanda ke ɓoye yadda launi ke canzawa tare da jagorar kallo.
Kusan nawa ne sauri Plenoxels yayi horo idan aka kwatanta da ainihin NeRF?
Ta hanyar kawar da kowane samfurin hanyar sadarwa, Plenoxels sun sami horo akan tsari na sau 100 cikin sauri, suna gamawa cikin mintuna.
Ta yaya ake debo ƙima daga grid voxel tare da ray?
Plenoxels yana amfani da bambance-bambancen interpolation na trilinear don karanta launi da sarari a hankali tsakanin cibiyoyin voxel.
Wace ƙarasa ce Plenoxels ta nuna ga filin?
Ta hanyar daidaita ingancin NeRF ba tare da hanyar sadarwa ba, Plenoxels ya nuna wakilci da haɓakawa, ba MLP ba, ke da alhakin sakamakon.