Visual AI GUIDE

LaMa Resolution-Robust Inpainting

LaMa (Large Mask inpainting) inokurumidza, yakareruka neural network inozadza zvisipo kana kubviswa nzvimbo dzemufananidzo zvakachena, kunyangwe gomba rakakura.

2 min verengaLast update

Pfupiso

It matters because it produces convincing fills at resolutions far higher than it was trained on, making professional object removal accessible to anyone.

Kudzika Kwakadzika

LaMa, yakaunzwa nevatsvagiri veSamsung AI muna 2021, inobata dambudziko rakareba: mamodheru mazhinji ekupenda anotsvedza kana kusviba paanokumbirwa kuzadza masiki akakura kana kudzokorora maumbirwo semadziro ezvidhinha uye mataira pasi. Kubudirira kwayo kuri kushandisa Fast Fourier Convolutions (FFCs), iyo inopa network nzvimbo yepasirese inogamuchira mune imwechete layer pachinzvimbo chekuda akawanda emaconvolutions akaturikidzana. Izvi zvinoita kuti LaMa 'aone' mufananidzo wese kamwechete uye kuenderera mberi ne periodic zvimiro zvakabatana. Iyo inodzidziswa nemusanganiswa wekurasikirwa kweanopikisa uye kurasikirwa kwekunzwisisa kunoenderana netiweki iyo pachayo inoshandisa yakakura minda yekugamuchira. Mhedzisiro yacho inogoneka zvinokatyamadza, kazhinji kupenta mifananidzo ye2K zvakachena mushure mekudzidziswa chete pazvirimwa zvidiki.

Technical Insight

Chinhu chakakosha iFast Fourier Convolution. Yakajairika convolution inongotarisa padiki diki chigamba, saka kubata-refu-renji chimiro kunoda yakadzika kwazvo network. FFC inoshandura chikamu chemepu yemepu kuita frequency domain, inoshandisa convolution ipapo, yobva yachinja kumashure. Nekuti frequency-domain mashandiro ari epasirese, imwe FFC layer inosanganisa ruzivo pamufananidzo wese, ichibatsira LaMa kudzokorora maumbirwo uye kuremekedza yepasi rose geometry semadziro emadziro.

Strategic Impact

Kumhanya uye chiyero

Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.

Vaka sarudzo

Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.

Team uye workflow

Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.

Ramangwana reLaMa Resolution-Robust Inpainting

LaMa inoramba iri yakasimba, inoshanda yekutanga uye yakanyudzwa mukati memahara maturusi uye yakavhurika-sosi mafoto edhita nekuti inomhanya nekukurumidza pane zvine mwero hardware isina hofori yekuparadzira modhi. Mafambiro acho mapaipi akasanganiswa: shandisa LaMa yekukurumidza kuzadza zvimiro uye hutsinye dhizaini, wobva wazvinatsa nesarudzo nemhando yekuparadzira. Tarisira yayo Fourier-convolution zano kuti rirambe richionekwa munguva-chaiyo yekugadzirisa, gadziriso yevhidhiyo furemu, uye pa-mudziyo nhare mbozha kuchenesa uko kumhanya uye kuderera kwendangariro zvinonyanya kukosha.

Real-World Implementation

Kubvisa vashanyi kana photobombers kubva pamapikicha ekufambisa uchichengeta madziro ekumashure kana denga risina musono

Kudzima mawatermark, timestamps, kana logos kubva pamifananidzo kuitira basa rekudzoreredza zviri pamutemo

Kudzima tambo dzemagetsi uye zviratidzo zvemumugwagwa kubva pareal-estate listing mafoto

Kudzoreredza mapikicha ekare kana akakuvadzwa akacheneswa nekuzadza makwara, misodzi, uye makona asipo

Njodzi & Guardrails

Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.

Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.

Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Implementation Roadmap

1

Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.

2

Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.

3

Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.

4

Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.

Ramba Uchiongorora

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What is LaMa Resolution-Robust Inpainting?

LaMa (Large Mask inpainting) inokurumidza, yakareruka neural network inozadza zvisipo kana kubviswa nzvimbo dzemufananidzo zvakachena, kunyangwe gomba rakakura. Izvo zvine basa nekuti zvinoburitsa zvinogutsa pazvisarudzo zvakakwira zvakanyanya kupfuura zvayakadzidziswa, zvichiita kuti kubviswa kwechinhu cheunyanzvi kuwanikwe kune chero munhu.

Chii chinonzi siginecha yekuvaka chikamu chinopa LaMa maonero ayo epasi rose emufananidzo?

LaMa inoshandisa Fast Fourier Convolutions (FFCs), iyo inoshanda muchikamu chefrequency domain kuti ipe nzvimbo yepasi rose inogamuchira muchikamu chimwe chete.

Nei LaMa inobata masiki makuru zviri nani pane akawanda ekare ekupenda mamodheru?

Nekuti maFFC anoona mufananidzo wese kamwechete, LaMa inokwanisa kuenderera mberi nemasikirwo uye geometry kunyangwe munzvimbo dzakakura dzakashaikwa.

Simba rinozivikanwa reLaMa kugona kwayo kupenda mifananidzo pamhando ipi yekugadzirisa?

LaMa inogadzirisa zvakanaka zvigadziriso zvakakwirira pane izvo zvinoonekwa panguva yekudzidziswa, ndosaka ichinzi resolution-yakasimba.

Ndeapi mhando yemagadzirirwo anobata LaMa kunyanya zvakanaka nekuda kweiyo frequency-domain kugadzirisa?

Frequency-domain convolutions inonyatsokodzera ku periodic mapatani, saka LaMa yakachena inoenderera ichidzokorora maumbirwo semadziro ezvidhinha uye pasi akaiswa mataira.

Ndekupi kurasikirwa kunobatsira LaMa kuburitsa zvinotaridzika zvinozadza kwete maavhareji asina kujeka?

LaMa inosanganisa kurasikirwa kweanopikisa uye kwekunzwisisa, inokurudzira inopinza, inonzwisisika mameseji panzvimbo yekufivha avhareji mapikisi.