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Vhidhiyo Diffusion Models

Vhidhiyo yekuparadzira modhi inogadzira mifananidzo inofamba nekushandura zvishoma nezvishoma ruzha rusina kujairika kuita mafuremu akabatana, achiwedzera pfungwa yekuparadzira kubva pamifananidzo kuenda kunguva.

2 min verengaLast update

Pfupiso

They are the engine behind today's most realistic AI video.

Kudzika Kwakadzika

Mamodheru ekuparadzanisa anodzidza kudzoreredza maitiro eruzha: panguva yekudzidziswa, data rakachena rine ruzha runowedzera zvishoma nezvishoma, uye network inodzidza kufanotaura uye kubvisa ruzha nhanho nhanho. Vhidhiyo diffusion inoshandisa izvi kune kutevedzana kwemafuremu, nekuwedzera kwakakosha kweiyo temporal modhi kuitira kuti kufamba kurambe kwakatsetseka uye zvinhu zvinoramba zvichienderana mukati menguva. Kuti computation irambe ichibatika, masisitimu mazhinji mamodheru ekupararira, anoshanda munzvimbo yakadzvanyirirwa yakadzikama kwete pamapikisi akambirwa. Zvivakwa zvinotangira kubva ku3D U-Nets nekutarisa kwenzvimbo uye kwechinguva kune diffusion transformers (DiTs) inobata vhidhiyo senge-nguva-yenguva tokens. Mhuri iyi ine masimba Sora, Stable Vhidhiyo Diffusion, Runway Gen-3, Google Veo, nePika, uye inotsigira zvinyorwa-ku-vhidhiyo, mufananidzo-ku-vhidhiyo, uye kugadzirisa mavhidhiyo.

Technical Insight

Iyo yakakosha yehunyengeri kuwedzera temporal layer, senge temporal kutarisisa kana 3D convolutions, saka mafuremu anoiswa denoise pamwe chete kwete kuzvimiririra, izvo zvinodzivirira kupenya uye kusingawirirane kufamba. Generation inoshandisa classifier-yemahara nhungamiro yekutevera kurudziro yemavara zvine simba, uye yakadzidzwa VAE encoder/decoder inofamba pakati pemapikisesi nenzvimbo yakadzikama. Sampling akawanda denoising matanho anononoka, saka distillation uye nekukurumidza solvers anoshandiswa kucheka nhamba yematanho anodiwa.

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 reVhidhiyo Diffusion Models

Tsvagiridzo iri kumhanyisa yakananga kureba, yakakwira-resolution, chaiyo-nguva chizvarwa chine yakawiriraniswa odhiyo uye zviri nani zvirinani kuona kwemuviri. Diffusion transformers iyo inoyera zvakachena nedata uye compute iri kuve inotungamira dhizaini, uye mashoma-matanho akadhindwa mamodheru ari kuita chizvarwa nekukurumidza. Tarisira kudzoreka kwakasimba pamusoro pekamera, mavara, uye magadzirirwo, pamwe nemaitiro akasanganiswa anosanganisa kusanganisa nedzimwe nzira dzekugadzira. Sezvo hunhu hunokwira, yakasimba watermarking uye zvemukati-provenance zviyero zvichave zvakakosha kugadzirisa kushandiswa zvisizvo.

Real-World Implementation

Kugonesa zvinyorwa-kune-vhidhiyo maturusi akadai seStable Vhidhiyo Diffusion, Runway Gen-3, uye Pika yevagadziri.

Mufananidzo-kune-vhidhiyo animation inounza foto imwe chete kuhupenyu nekufamba kwechokwadi

AI-yakabatsira vhidhiyo kugadzirisa, kupenda, uye kutamisa chimiro mukati mehunyanzvi post-yekugadzira workflows.

Kugadzira synthetic kudzidziswa tsoka uye simulations yerobhoti uye inozvimiririra-yemotokari yekutsvaga

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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GLIDE Diffusion Model

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What is Video Diffusion Models?

Vhidhiyo yekuparadzira modhi inogadzira mifananidzo inofamba nekushandura zvishoma nezvishoma ruzha rusina kujairika kuita mafuremu akabatana, achiwedzera pfungwa yekuparadzira kubva pamifananidzo kuenda kunguva. Ndivo injini iri kuseri kweanhasi AI vhidhiyo.

Ndeipi pfungwa yakakosha kumashure kweiyo diffusion modhi?

Diffusion modhi inodzidziswa kubvisa ruzha rwaiwedzerwa zvishoma nezvishoma kune data, wozogadzira nekuita denoising kubva muruzha rwakachena.

Ko vhidhiyo yekuparadzira modhi inowedzerei ichienzaniswa nemhando yekuparadzira mifananidzo?

Pamusoro pekugadzira imwe neimwe furemu, kufambiswa kwevhidhiyo kunofanirwa kurongedza mafuremu mukati menguva, zvinoda maturu enguva kuti achengetedze kufamba kwakabatana.

Sei akawanda mamodhiyo ekuparadzira mavhidhiyo achishanda munzvimbo 'yakadzikama'?

Vhidhiyo yakapfava yakakura; kuiisa munzvimbo diki yakavanzika kuburikidza neVAE inoita kuti denoising ishande zvakanyanya.

Nderipi basa rekutarisisa kwechinguvana kana 3D convolutions mumamodheru aya?

Temporal layers dzinobatanidza ruzivo pamafuremu, ichidzivirira kupenya uye kugadzira mafambiro akabatana kwete akazvimirira, maframemu anotsemuka.

Ndeipi nzira inobatsira vhidhiyo yekuparadzira modhi kutevera chirevo chemavara zvakasimba?

Classifier-yemahara kutungamira inotungamira iyo denoising maitiro zvakanyanya kune yekumisikidza yekumisikidza, inovandudza kuteedzera nekukurumidza.