Overview
Kukura kunofambira mberi kunodzidzisa GAN nekutanga pane zvigadziriso zvidiki uye zvishoma nezvishoma nekuwedzera maseru kuti isvike mifananidzo ine-yepamusoro-soro. Izvo zvine basa nekuti yakaita yakagadzikana, megapixel-mhando GAN synthesis inoshanda kekutanga.
Kufambira Mberi Kukura kweGAN ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Yakaunzwa naKarras et al. (NVIDIA) muna 2017, kukura kunofambira mberi (ProGAN) inobata kusagadzikana uye kunonoka kwekudzidzisa maGAN zvakananga pakugadziriswa kwepamusoro. Ose ari maviri jenareta nerusarura anotanga diki, pa4x4 pixels, achidzidza hombe-chimiro chimiro. Matunhu matsva anopeta gadziriso (8x8, 16x16, kusvika 1024x1024) anobva awedzerwa symmetrically kune ese ma network panguva yekudzidziswa. Zvine hutsinye, imwe neimwe nyowani nyowani inopera mushe muchishandisa mutsara alpha musanganiswa saka network haina kuvhundutswa nekukasira kwekuvaka shanduko. Nekudzidza zvakakasharara pamberi pezvakanakisa, kudzidziswa kunowedzera kugadzikana, kuchinjika nekukurumidza, uye kunogadzira zviso zvekuvimbika zvakaita kuti mhedzisiro yeCelebA-HQ ive nemukurumbira. Iro bepa rakaunzawo minibatch standard kutsauka uye yakaenzana mareti ekudzidza kuti awedzere kudzikamisa kudzidziswa.
Technical Insight
Iyo fade-mukati ndiyo yepakati trick. Kana bhuroko repamusoro-resolution rinowedzerwa, kuburitsa kwayo kunosanganiswa neupsampled shanduro yechisarudzo chakapfuura uchishandisa uremu alpha iyo ramps kubva 0 kusvika 1. Izvi zvinoita kuti uremu hutsva hudziye zvishoma nezvishoma pane kukanganisa izvo network yatodzidza. A symmetric process inoitika mukusarura. Minibatch yakajairwa kutsauka inoisa chimiro chekupfupisa batch kusiyanisa, ichiodza moyo jenareta kubva pakudonha kuenda kune zvishoma zvinobuda.
Mastering Progressive Kukura kweGANs
Kukura kunofambira mberi kunodzidzisa GAN nekutanga pane zvigadziriso zvidiki uye zvishoma nezvishoma nekuwedzera maseru kuti isvike mifananidzo ine-yepamusoro-soro. Izvo zvine basa nekuti yakaita yakagadzikana, megapixel-mhando GAN synthesis inoshanda kekutanga. Kufambira Mberi Kukura kweGAN ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuvaka kunzwisisa kwakadzama, bata Kukura Kunokura kweGAN semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Progressive Kukura kweGANs kuenzanirana nemaitiro ekushanda 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
Kugadzira iyo yepamusoro-resolution CelebA-HQ mifananidzo yechiso yakaratidza 1024x1024 GAN synthesis.
Kugadzira emhando yepamusoro sampuli dzemamwe madomasi senge yekurara (LSUN) uye zvinhu pachiyero.
Kushanda senzvimbo yekuvaka yekutanga iyo StyleGAN yakawedzera kune inodzoreka kumeso chizvarwa.
Kudzidzisa iyo yakaomesesa-kune-yakanaka dzidziso yakashandiswa zvakare mumapaipi akadhindwa uye akawanda-akawanda generative.
Maitiro Ekuita
Kufambira mberi Kukura kweGAN mukuita
Kugadzira iyo yepamusoro-resolution CelebA-HQ mifananidzo yechiso yakaratidza 1024x1024 GAN synthesis.
Kugadzira iyo yepamusoro-resolution yeCelebA-HQ mifananidzo yechiso yakaratidza 1024x1024 GAN synthesis Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Kufambira mberi Kukura kweGAN mukuita
Kugadzira emhando yepamusoro sampuli dzemamwe madomasi senge yekurara (LSUN) uye zvinhu pachiyero.
Kugadzira emhando yepamusoro sampuli dzemamwe madomasi semakamuri ekurara (LSUN) uye zvinhu pachiyero Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Kufambira mberi Kukura kweGAN mukuita
Kushanda senzvimbo yekuvaka yekutanga iyo StyleGAN yakawedzera kune inodzoreka kumeso chizvarwa.
Kushanda senzvimbo yekuvaka iyo StyleGAN yakawedzera kune inodzoreka kumeso chizvarwa Matimu anowanzo kuwana zvirinani zvibodzwa kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Kufambira mberi Kukura kweGAN mukuita
Kudzidzisa iyo yakaomesesa-kune-yakanaka dzidziso yakashandiswa zvakare mumapaipi akadhindwa uye akawanda-akawanda generative.
Kudzidzisa iyo yakaomesesa-kune-yakanaka dzidziso yakashandiswa zvakare mumapombi akakandwa uye akawanda-akawanda ekugadzira Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa 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.