I-LaMa Resolution-Robust Inpainting
I-LaMa (I-Large Mask inpainting) iyinethiwekhi ye-neural esheshayo, engasindi egcwalisa izindawo ezingekho noma ezisusiwe zesithombe ngokuhlanzekile, ngisho noma imbobo inkulu.
Uhlolojikelele
It matters because it produces convincing fills at resolutions far higher than it was trained on, making professional object removal accessible to anyone.
I-Deep Dive
I-LaMa, eyethulwe abacwaningi be-Samsung AI ngo-2021, ibhekana nenkinga esenesikhathi eside: amamodeli amaningi okupenda ayagcoba noma afiphale lapho ecelwa ukuthi agcwalise imaski emikhulu noma ukwakheka okuphindaphindwayo njengezindonga zezitini namathayela aphansi. Impumelelo yayo isebenzisa i-Fast Fourier Convolutions (FFCs), enikeza inethiwekhi inkambu yokwamukela umhlaba wonke ngesendlalelo esisodwa esikhundleni sokudinga inqwaba yama-convolutions astakiwe. Lokhu kuvumela i-LaMa 'ibone' sonke isithombe ngesikhathi esisodwa futhi iqhubeke nezakhiwo zezikhathi ngokuhambisana. Iqeqeshwe ngenhlanganisela yokulahlekelwa kwezitha kanye nokulahlekelwa kombono okusekelwe kunethiwekhi yona ngokwayo esebenzisa izinkambu ezibanzi zokwamukela. Umphumela uhlanganisa kahle ngokuphawulekayo, ngokuvamile upenda izithombe ze-2K ngokuhlanzekile ngemva kokuqeqeshwa ezitshalweni ezincane kuphela.
I-Technical Insight
Ingxenye ebalulekile yi-Fast Fourier Convolution. I-convolution evamile ibheka kuphela isiqeshana sendawo esincane, ngakho-ke ukuthwebula isakhiwo sobude obude kudinga inethiwekhi ejulile kakhulu. I-FFC iguqula ingxenye yemephu yesici ibe yisizinda semvamisa, isebenzisa ukuguqulwa lapho, bese iguqulela emuva. Ngenxa yokuthi ukusebenza kwesizinda se-frequency kungokwemvelo emhlabeni wonke, isendlalelo esisodwa se-FFC sihlanganisa ulwazi kuso sonke isithombe, sisize i-LaMa iphinde iphinde iphinde ihloniphe ijiyomethri yomhlaba wonke njengamaphethelo odonga.
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-LaMa Resolution-Robust Inpainting
I-LaMa isalokhu iyisisekelo esiqinile, esisebenza kahle futhi ishumekwe kakhulu kumathuluzi wamahhala nabahleli bezithombe ezivulekile ngoba isebenza ngokushesha ku-hardware enesizotha ngaphandle kwemodeli enkulu yokusabalalisa. Ithrendi ngamapayipi ayingxube: sebenzisa i-LaMa ngokugcwaliswa kwesakhiwo okusheshayo nokusalungiswa okungalungile, bese ukhetha imininingwane ngemodeli yokusabalalisa. Lindela umbono wayo we-Fourier-convolution ukuthi uqhubeke uvela ekuhleleni ngesikhathi sangempela, ukulungiswa kozimele wevidiyo, kanye nokuhlanzwa kwesithombe seselula esikudivayisi lapho isivinini nenkumbulo ephansi kubaluleke kakhulu.
Ukuqaliswa Komhlaba Wangempela
Ukususa izivakashi noma amabhomu ezithombe ezithombeni zokuhamba ngenkathi kugcinwa udonga lwangemuva noma isibhakabhaka singenamthungo
Isula ama-watermark, izitembu zesikhathi, noma amalogo ezithombeni zomsebenzi wokubuyisela osemthethweni
Ukususa imigqa yamandla nezimpawu zomgwaqo ezithombeni zokufakwa kuhlu kwezindlu ezithengiswayo
Ukubuyisela izithombe ezindala noma ezilimele eziskeniwe ngokugcwalisa imihuzuko, izinyembezi, namakhona angekho
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-CodeFormer Robust Face Recovery
Imibuzo evame ukubuzwa
What is LaMa Resolution-Robust Inpainting?
I-LaMa (I-Large Mask inpainting) iyinethiwekhi ye-neural esheshayo, engasindi egcwalisa izindawo ezingekho noma ezisusiwe zesithombe ngokuhlanzekile, ngisho noma imbobo inkulu. Ibalulekile ngoba ikhiqiza ukugcwaliswa okugculisayo ezinqumweni eziphakeme kakhulu kunalokho ebiqeqeshwe ngakho, okwenza ukususwa kwezinto ezichwepheshile kufinyeleleke kunoma ubani.
Iyiphi ingxenye yesiginesha yezakhiwo enikeza i-LaMa umbono wayo womhlaba wonke wesithombe?
I-LaMa isebenzisa i-Fast Fourier Convolutions (FFCs), esebenza ngokwengxenye kusizinda samafrikhwensi ukuze inikeze inkambu yomhlaba wonke eyamukelayo isendlalelo esisodwa.
Kungani iLaMa iphatha imaski emikhulu kangcono kunamamodeli amaningi angaphambili okupenda?
Ngenxa yokuthi ama-FFC abona sonke isithombe ngasikhathi sinye, i-LaMa ingaqhubeka ngokuhambisana nokuthungwa kanye nejometri ngisho nasezifundeni ezinkulu ezingekho.
Amandla aphawulekayo e-LaMa yikhono layo lokupenda izithombe ngaluphi uhlobo lwesinqumo?
I-LaMa ihlanganisa kahle izinqumo eziphakeme kunalezo ezibonwa ngesikhathi sokuqeqeshwa, yingakho ibizwa ngokuthi i-resolution-robust.
Hlobo luni lokuthungwa i-LaMa eluphatha kahle ikakhulukazi ngenxa yokucubungula kwayo isizinda se-frequency?
Ama-convolutions wesizinda se-frequency afaneleka kahle kumaphethini ezikhathi ezithile, ngakho-ke i-LaMa iyaqhubeka ngokuhlanzekile nokuphindaphinda ukuthungwa njengezindonga zezitini namathayili aphansi.
Yikuphi ukulahlekelwa okusiza i-LaMa ikhiqize ukugcwaliswa okubukeka ngendlela engokoqobo kunezilinganiso ezifiphele?
I-LaMa ihlanganisa ukulahlekelwa okuphikisayo nokubonayo, ikhuthaza ukuthungwa okubukhali, okuzwakalayo esikhundleni samaphikseli amaphakathi afiphele.