I-CodeFormer Robust Face Recovery
I-CodeFormer imodeli yokubuyisela ubuso eyakhelwe ukuphatha ukuwohloka okukhulu, ukubuyisela ubuso obubonakalayo kokulimala kakhulu, okuncane, noma okokufaka okufiphele.
Uhlolojikelele
It matters because it lets users dial the trade-off between staying faithful to the original and producing a clean, high-quality result.
I-Deep Dive
I-CodeFormer (NeurIPS 2022) yenza uhlaka kabusha ukubuyiselwa kobuso njengokubikezela kwekhodi ecacile esikhundleni sokuhlehla kwephikseli okuqhubekayo. Iqala iqeqeshe i-codebook yesitayela se-VQGAN: isichazamazwi esincane, esifundiwe sobuso 'samabhulokhi wokwakha' esithwebula imininingwane yobuso yekhwalithi ephezulu. Uma kubhekwa ubuso obonakele, i-Transformer ibikezela ukuthi iyiphi i-codebook efakiwe eyakha kabusha kangcono, iphatha ukubuyisela njengokucosha amathokheni alungile kusilulumagama sezingxenye zobuso. Ngenxa yokuthi i-codebook ihlala endaweni ehlangene, elinganiselwe, imodeli iqine kakhulu emsindweni onzima kanye nokufiphala kunezindlela ezibeka imephu yamaphikseli ngokuqondile. Imojuli yokuguqulwa kwesici esilawulekayo ivumela abasebenzisi ukuthi bashelele isisindo esisodwa (esivame ukubizwa ngokuthi i-fidelity) ukuze bathande okukhiphayo okucijile, okungokoqobo noma ukwethembeka okuqinile kokokufakayo okonakele.
I-Technical Insight
I-codebook ehlukanisiwe isebenza njengeyangaphambili eqinile 'enesilulumagama' esilinganiselwe, ngakho-ke ngisho nalapho okokufaka konakaliswe kakhulu i-Transformer isengakwazi ukubikezela izibikezelo kumakhodi obuso avumelekile, ekhwalithi ephezulu. Lokhu kumodela komhlaba wonke ngokunaka kunciphisa ukuncika kuzimpawu zamaphikseli endawo ezicekelwa phansi. Isisindo se-fidelity esilungisekayo silawula ukuthi inethiwekhi incike kangakanani kuzici zokufaka iqhathaniswa ne-codebook efundiwe, ukulondolozwa kobunikazi bokuhweba ngokumelene nokuhlanzeka kokuphumayo.
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-CodeFormer Robust Face Recovery
Imiklamo ye-Codebook-plus-Transformer inomthelela ekubuyiselweni okubanzi nomsebenzi wokukhiqiza, futhi i-CodeFormer iya ngokuya ixutshwa nokuthuthukiswa kokusabalalisa ukuze kube nemiphumela ebucayi. Lindela izinguqulo zesikhashana ezingcono zevidiyo, ukukhiya ubunikazi obucolisekileyo ukuze ukubuyisela okusindayo kungashintshi ukufana komuntu, nokuhlanganiswa okuqinile kuzinhlelo zokusebenza zezithombe zabathengi. Njengazo zonke izivuseleli zobuso, ukubonakala obala mayelana nemininingwane eyakhiwe kabusha nokuvikela ukusetshenziswa kabi kuzokhula ngokubaluleka.
Ukuqaliswa Komhlaba Wangempela
Ukuthola ubuso kusukela ekugadweni okunokulungiswa okuphansi kakhulu noma okuqoshiwe okugcinwe kungobo yomlando
Ukubuyisela ekumeni ngobude komlando okonakele kakhulu, okufiphele, noma okuphixekile
Ukulungisa izithombe ezikhiqizwe yi-AI lapho ubuso bugoqeke baba nokufiphala noma ukuhlanekezela
Ukuvumela abasebenzisi ukuthi bashune isilayidi sokwethembeka ukuze bakhethe phakathi kokubuyisela okuthembekile noma okupholishiwe
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
I-LaMa Resolution-Robust Inpainting
Imibuzo evame ukubuzwa
What is CodeFormer Robust Face Recovery?
I-CodeFormer imodeli yokubuyisela ubuso eyakhelwe ukuphatha ukuwohloka okukhulu, ukubuyisela ubuso obubonakalayo kokulimala kakhulu, okuncane, noma okokufaka okufiphele. Ibalulekile ngoba ivumela abasebenzisi ukuthi badayise ukuhwebelana phakathi kokuhlala bethembekile kokwangempela nokukhiqiza umphumela ohlanzekile, wekhwalithi ephezulu.
I-CodeFormer iyibeka kanjani ngokuyisisekelo inkinga yokubuyisela ubuso?
I-CodeFormer ibikezela okufakiwe okuhlukene okuvela ku-codebook yesitayela se-VQGAN, iphatha ukubuyisela njengokukhetha amathokheni kunokuhlehlisa amaphikseli aluhlaza.
Iyiphi ingxenye ebikezela ukuthi iyiphi i-codebook efakiwe okufanele isetshenziswe?
I-Transformer imodela umongo womhlaba wonke ukuze ibikezele amathokheni e-codebook angcono kakhulu, aqine kakhulu kunokuncika kuma-pixel asendaweni.
Kungani i-codebook ehlukile iwusizo kokufakwayo okonakaliswe kakhulu?
Ngenxa yokuthi izibikezelo zifinyelela kusethi elinganiselwe yamakhodi obuso ekhwalithi ephezulu, imodeli ihlala iqinile ngisho noma amaphikseli okokufaka onakaliswe kabi.
Yini i-CodeFormer's adjustable fidelity weight control control?
Ukuguqulwa kwesici esilawulekayo kuvumela abasebenzisi ukuthi bashelele phakathi kokugcina ubunikazi bangempela nokukhiqiza imiphumela ehlanzekile, ebukhali.
I-CodeFormer ishicilelwe kuyiphi indawo?
I-CodeFormer yethulwe kwa-NeurIPS 2022, yethula indlela yayo yokubheka i-codebook yokuvuselela ubuso obuqinile.