InoteveraGaidhi rinotevera
Pix2Pix Mufananidzo-ku-Mufananidzo Shanduro
AI Yekutarisa
Gwara reVisual AI
CycleGAN Unpaired Translation
CycleGAN inodzidza kushandura mifananidzo pakati pezvikamu zviviri zvinoonekwa (semabhiza kuenda kumbizi, kana mafoto kumifananidzo) pasina kumboda akafananidzwa pamberi-uye-pashure pemuenzaniso peya.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
It matters because collecting paired training data is often impossible, and CycleGAN unlocks style transfer for messy real-world datasets.
Kudzika Kwakadzika
Yakaunzwa muna 2017 naZhu, Park, Isola, uye Efros, CycleGAN inobata shandurudzo isina kupetwa yemufananidzo-ku-mufananidzo. Nzira dzekutanga (senge pix2pix) dzaida mapeya chaiwo: chiitiko chimwe chete semufananidzo uye se sketch. CycleGAN inobvisa icho chinodiwa uchishandisa majenareta maviri (G inoshandura domain A kuenda kuB, F inoshandura B kudzokera kuA) uye vasarura vaviri vanotonga huchokwadi mune imwe neimwe dura. Iko kubudirira ndiko kurasikirwa-kutenderera kurasikirwa: kana iwe ukashandura mufananidzo webhiza kune zebra uye woushandura uchidzoka, unofanirwa kudzoreredza bhiza rekutanga. Izvi zvinomisa jenareta kubva pakugadzira zvisina tsarukano zvinobuda uye zvinomanikidza zvine musoro, zvinochengetedza-zvinochengetedza mepu. Iyo ine mukurumbira inoshandura nzvimbo dzezhizha kuita nguva yechando, Monet pendi kuita mafoto, uye maapuro kuita maranjisi, zvese zvakadzidzwa kubva kune maviri asina hukama mapikicha.
Kuitwa muNyika yeChokwadi
Kushandura mafoto kuita dhizaini yekupenda yeMonet, Van Gogh, kana Cezanne pasina mienzaniso yependi yemifananidzo.
Kushandura mapikicha emamiriro echirimo kuita zviitiko zvechando (uye zvakapesana) zvemufirimu uye kugadzira asset yemutambo
Kushandura MRI scans kune CT-yakafanana mifananidzo mukutsvagisa kwekurapa uko varwere vakapetwa scans asipo.
Kugadzirisa yekugadzira kutyaira-simulator tsoka kuti itaridzike photorealistic yekudzidzira inozvimiririra yekuona mota
Ramangwana reCycleGAN Unpaired Translation
Pfungwa huru yeCycleGAN, kutenderera kutenderera, inoramba ichienderera mberi nebasa rekushandura remazuva ano, kusanganisira nzira dzekuparadzira dzinochinjanisa GAN musana wemhando dzedenoising dzakapinza, dzakasiyana siyana. Vatsvaguri vava kushandisa dudziro isina kuviriswa kukufungidzira kwekurapa (synthesizing scan modalities), dhizaini inogadziriswa yekuzvifambisa-kutyaira-kune-chaiyo kuendesa, uye data kuwedzera. Tarisira kutonga kwakasimba pane izvo zvinochinja maringe nezvinogara zvakagadziriswa, pamwe nemaitiro akasanganiswa anosanganisa zvimhingamipinyi zvine mavara-econditioned diffusion editing.
Kuzvishandisa
Nei zvichikosha
- 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.
Chenjera
- 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.
Matanho anotevera
- Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
- Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
- Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
- Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the CycleGAN Unpaired Translation quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
What is CycleGAN Unpaired Translation?
CycleGAN inodzidza kushandura mifananidzo pakati pezvikamu zviviri zvinoonekwa (semabhiza kuenda kumbizi, kana mafoto kumifananidzo) pasina kumboda akafananidzwa pamberi-uye-pashure pemuenzaniso peya. Izvo zvine basa nekuti kuunganidza paired dzidziso data kazhinji hazvigoneke, uye CycleGAN inovhura dhizaini yekuchinjisa kune yakashata-yepasirese dataset.
Nderipi dambudziko rakakosha rinogadziriswa neCycleGAN idzo nzira dzekutanga senge pix2pix yaisagona?
Mupiro mukuru weCycleGAN ishanduro isina kupetwa, kudzidza mepu pakati pemadomasi kubva muunganidzwa wemifananidzo usina hukama kwete peya chaidzo.
Ko cycle-consistency kurasikirwa inosimbisa chii?
Cycle consistency zvinoreva F(G(x)) inofanira kuenzana x: bhiza rakashanduka kuita mbizi uye musana ngauite sebhiza rekutanga.
Mangani majenareta anoshandiswa neyakajairwa CycleGAN?
CycleGAN inoshandisa majenareta maviri, imwe kune yega yega nzira yekushandura (A kusvika B uye B kuenda kuA), pamwe nevaviri vanosarura.
Ndeupi rudzi rwekusarura iyo CycleGAN inowanzo shandisa?
CycleGAN inoshandisa PatchGAN kusarura iyo inotonga inopindirana zvigamba sechokwadi kana manyepo, zvichikurudzira huchokwadi hwenzvimbo.
Sei kurasikirwa kwekuzivikanwa dzimwe nguva kuchiwedzerwa muCycleGAN?
Kurasikirwa kwekuzivikanwa kunoranga shanduko dzisina kufanira kana chifananidzo chatova mudura rekuda, zvichibatsira kuchengetedza mavara uye tint.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi