Overview
GLIDE yanga iri yepakutanga OpenAI yemhando yekusiyanisa mavara-kune-mufananidzo yairatidza kukurumidza uye 'classifier-yemahara nhungamiro' yaigona kukunda zvekare GAN-based masisitimu. Yakanga iri kiyi yekutsika munzira inoenda kuDALL-E 2.
GLIDE Diffusion Model ndeyekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Yakaburitswa ne OpenAI mukupera kwa2021, GLIDE (Mutauro Unotungamirwa kuenda kuMuchinjikwa Wemifananidzo weChizvarwa neKugadziridza) yakaratidza kuti mamodheru ekuparadzira anotungamirwa nemavara anogona kuburitsa mifananidzo yechokwadi, nekukasira-yakatendeka. Kubatsira kwayo kukuru kwaive kuenzanisa nzira mbiri dzekutungamira chizvarwa: CLIP kutungamira maringe ne classifier-yemahara nhungamiro. Chikwata chakawana kutungamira-yemahara nhungamiro yakagadzira mamwe echokwadi uye anoenderana-nani mifananidzo, mhedzisiro yakaumba ingangoita yega yega mavara-kune-mufananidzo modhi kubvira. GLIDE zvakare yakatsigira mavara-anotyairwa painting, ichirega vashandisi kurongedza chikamu chemufananidzo neichi kukurumidza kukurumidza. Yakashandisa 3.5-bhiriyoni-parameter diffusion modhi pamwe neupsampler. OpenAI yakaburitsa vhezheni diki, yakasefa pamberi pevanhu vachinyima iyo modhi izere nenyaya yekusashandisa zvisizvo, uye zvidzidzo zvayo zvakaiswa muDALL-E 2.
Technical Insight
Classifier-yemahara kutungamira ndicho chikuru cheGLIDE chidzidzo chehunyanzvi. Munguva yekudzidziswa, modhi yacho dzimwe nguva inoona iwo chaiwo mameseji ekukurumidza uye dzimwe nguva isina chinhu, ichidzidza ese ane mamiriro uye asina magadzirirwo chizvarwa. Panguva yesampling inoburitsa kure kubva kufungidziro isina magumo yakananga kune yakamisikidzwa, ichipinza kuti zvinobuda zvinoteera sei kukurumidza. Izvi zvinodzivirira kuda akaparadzana mukirasi uye zvakapa zvinooneka zviri nani chokwadi uye kurongeka kwemavara pane kutungamira neCLIP, ichiva iyo yekusarudzika nzira yeakazotevera modhi.
Mastering GLIDE Diffusion Model
GLIDE yanga iri yepakutanga OpenAI yemhando yekusiyanisa mavara-kune-mufananidzo yairatidza kukurumidza uye 'classifier-yemahara nhungamiro' yaigona kukunda zvekare GAN-based masisitimu. Yakanga iri danho rinokosha panzira inoenda kuDALL-E 2. GLIDE Diffusion Model ndeyekombuta-kuona mafambiro ebasa anodudzira kana kuburitsa midhiya yekuona yekuongorora, kushanda, uye kugadzira. Kuvaka kunzwisisa kwakadzama, bata GLIDE Diffusion Model semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda, jekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa GLIDE Diffusion Model kurongeka 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 mufananidzo kubva mumutsara wakaita seyakatsanangurwa chiitiko, ichiratidza kukurumidza kukurumidza-kutendeka synthesis
Text-driven inpainting: masking chikamu chemufananidzo uye uchizadza nechinhu chitsva chinotsanangurwa mumashoko
Kugadzirisa mufananidzo uripo nekuwedzera kana kutsiva zvinhu kuburikidza nekutevera-up kukurumidza
Kushanda sehwaro hwekutsvagisa kwakaratidza kutungamira-yemahara kutungamira kunokunda CLIP gwara rekugadzirisa
Maitiro Ekuita
GLIDE Diffusion Model mukuita
Kugadzira mufananidzo kubva mumutsara wakaita seyakatsanangurwa chiitiko, ichiratidza kukurumidza kukurumidza-kutendeka synthesis.
Kugadzira mufananidzo kubva pamutsara wakadai sechiitiko chakatsanangurwa, kuratidzira kukurumidza kukurumidza-kutendeka synthesis 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.
GLIDE Diffusion Model mukuita
Text-driven inpainting: masking chikamu chemufananidzo uye uchizadza nechinhu chitsva chinotsanangurwa mumashoko.
Kupenda-inofambiswa nemavara: kuvhara chikamu chemufananidzo uye kuchizadza nechinhu chitsva chinotsanangurwa mumashoko Matimu anowanzo kuwana mhedzisiro iri nani kana vachitsanangudza zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
GLIDE Diffusion Model mukuita
Kugadzirisa mufananidzo uripo nekuwedzera kana kutsiva zvinhu kuburikidza nekutevera-up kukurumidza.
Kugadzirisa mufananidzo uripo nekuwedzera kana kutsiva zvinhu kuburikidza nekutevera-up kukurumidza Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
GLIDE Diffusion Model mukuita
Kushanda sehwaro hwekutsvagisa kwakaratidza kutungamira-yemahara kutungamira kunokunda CLIP gwara rekugadzirisa.
Kushanda sehwaro hwekutsvagisa kwakaratidza kutungamira-yemahara kutungamira kunokunda kutungamira kweCLIP kweMatimu ekurongeka kazhinji vanowana mhedzisiro iri nani kana vatsanangura hunhu hwepamberi, 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.