Overview
Image matting inyanzvi yekucheka chidzidzo kubva papikicha ine pixel-yakakwana, semi-pachena mipendero - kutora ese mawispy strand yebvudzi kana kufambisa blur. Kusiyana nechikamu chakareruka, inofungidzira kuti yakawanda sei pixel yega yega ndeyekumberi.
Image Matting ndeyekombuta-yekuona workflows inodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandisirwo, uye kugadzira.
Deep Dive
Matting inogadzirisa equation yekubatanidza: pixel yega yega inocherechedzwa musanganiswa weruvara rwemberi neruvara rwekumashure, rwakasanganiswa nealpha value iri pakati pe0 ne1. Chinangwa ndechekudzoreredza iyo alpha matte - mask yakapfava apo 1 ari kumberi zvizere, 0 ari kumashure akazara, uye mafractional values anotora matunhu asina kujeka kana translucent. Izvi zvakashongedzwa nemasvomhu, saka nzira dzechinyakare dzaitsamira pamushandisi-inodhonzwa mucherechedzo wekumaka kumberi, kwechokwadi kumashure, uye nzvimbo dzisingazivikanwe. Dzidziso-yakadzika nzira seDeep Image Matting (2017) dzidza kufanotaura alpha zvakananga kubva kumifananidzo uye trimaps, nepo mitsva yemahara-yemahara mhando seMODNet uye Robust Vhidhiyo Matting inofungidzira matte munguva chaiyo kubva pamufananidzo kana webcam feed yega.
Technical Insight
Iyo yakakosha modhi ndiI = alpha*F + (1 - alpha)*B, pandiri pixel, F naB ndeye kumberi uye kumashure mavara, uye alpha is opacity. Nevatatu vanozivikanwa (iyo RGB pixel) uye zvinomwe zvisingazivikanwe, dambudziko rinoda kumberi kana kutungamirwa. Neural matting network regress alpha ichishandisa encoder-decoder architecture, kazhinji ine yakaparadzana nhanho yekukwenenzvera inorodza mipendero. Kurasikirwa kunobatanidza kukanganisa kwe alpha kufanotaura nekurasikirwa kwezvakagadzirwa izvo zvinosanganisa zvakare kufanotaura uye kuzvienzanisa nemufananidzo wekutanga.
Kugadzira Mufananidzo Matting
Image matting inyanzvi yekucheka chidzidzo kubva papikicha ine pixel-yakakwana, semi-pachena mipendero - kutora ese mawispy strand yebvudzi kana kufambisa blur. Kusiyana nechikamu chakareruka, inofungidzira kuti yakawanda sei pixel yega yega ndeyekumberi. Image Matting ndeyekombuta-yekuona workflows inodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandisirwo, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, bata Image Matting semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvingaitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Image Matting chiyero chechokwadi nezvinhu zvekushanda semhando yedata, kusiyana kwemwenje, uye kuenderana kwemazita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Panguva imwecheteyo, kodzero dzeMufananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana hunhu husina kujeka. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Virtual zvimiro mumusangano wevhidhiyo, kutsiva kamuri kuseri kwemutauri munguva chaiyo
Firimu uye TV yakasvibira-screen compositing, ichitora vatambi vane yakachena bvudzi mipendero yeVFX
E-commerce chigadzirwa mapikicha, kuisa zvinhu pane yakachena chena kumashure otomatiki
Portrait modhi uye kusikwa kwekunamirwa mumapurogiramu efoni, kucheka vanhu kuti vagovane
Maitiro Ekuita
Image Matting mukuita
Virtual zvimiro mumusangano wevhidhiyo, kutsiva kamuri kuseri kwemutauri munguva chaiyo.
Mabviro chaiwo mumusangano wevhidhiyo, kutsiva kamuri kuseri kwemutauri munguva chaiyo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Image Matting mukuita
Firimu uye TV yakasvibira-screen compositing, ichitora vatambi vane yakachena bvudzi mipendero yeVFX.
Firimu neTV yakasvibira-screen kuumba, kutora vatambi vane yakachena vhudzi mipendero yeVFX Matimu anowanzo kuwana mhedzisiro iri nani kana vatsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Image Matting mukuita
E-commerce chigadzirwa mapikicha, kuisa zvinhu pane yakachena chena kumashure otomatiki.
E-commerce chigadzirwa mapikicha, kuisa zvinhu pakachena chena kumashure otomatiki Matimu anowanzo kuwana zvirinani mhedzisiro kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Image Matting mukuita
Portrait modhi uye kusikwa kwekunamirwa mumapurogiramu efoni, kucheka vanhu kuti vagovane.
Portrait modhi uye kusikwa kwekunamirwa mumapurogiramu efoni, kucheka vanhu kuti vagovane magariro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
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
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.