Visual AI GUIDE

Ita-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo

Make-A-Vhidhiyo ndeye Meta's 2022 sisitimu inosandura kurudziro kuita kavhidhiyo kapfupi pasina kumbodzidzira pane akanyorwa mavara-mavhidhiyo maviri.

Overview

Make-A-Vhidhiyo ndeye Meta's 2022 sisitimu inosandura kurudziro kuita kavhidhiyo kapfupi pasina kumbodzidzira pane akanyorwa mavara-mavhidhiyo maviri. Izvo zvine basa nekuti zvakaratidza kuti ruzivo rwekuona mukati memavara-kune-mufananidzo modhi rinogona 'kudzidziswa' kufamba uchishandisa vhidhiyo isina kunyorwa chete.

Make-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.

Deep Dive

Make-A-Vhidhiyo, yakaziviswa ne Meta AI muna Gunyana 2022, inogadzira masekonzi mashoma evhidhiyo kubva mumutsara wakaita sekuti 'imbwa yakapfeka chikepe chemhare ichibhururuka mudenga.' Chinongedzo chayo ndechekubvisa chitarisiko kubva pakufamba: chinyorwa-ku-chifananidzo modhi (yakavakirwa paCLIP-chimiro chakabatana chinyorwa-chifananidzo nzvimbo uye kupararira) inodzidza kuti zvinhu zvinotaridzika sei kubva kumabhiriyoni emifananidzo yakanyorwa, nepo akaparadzana spatiotemporal akaturikidzana achidzidza mafambiro ezvinhu kubva kuvhidhiyo isina kunyorwa chete. Izvi zvinobvisa kushomeka kwemhando yepamusoro yemavara-mavhidhiyo maviri. Iyo base modhi inogadzira yakaderera-resolution, yakaderera-frame-reti zvimedu, zvino yakatsaurirwa network inodudzira mamwe mafuremu uye upscale spatial resolution. Mhedzisiro yacho yainyatsoenderana kwenguva yayo, kunyangwe zvimedu zvaive zvipfupi, zvisinganzwisisike, uye zvaida kupenyereka uye kutenderera.

Technical Insight

Make-A-Vhidhiyo inowedzera 2D mufananidzo-chizvarwa convolutions uye kutarisa mu 3D nekuwedzera pseudo-temporal layer. Pretrained spatial huremu akaomeswa nechando kana kurongedzwa zvakanaka ukuwo matsva emazuva ano achidzidza mafambiro kubva kuvhidhiyo mbishi, saka hapana mavara-vhidhiyo mavara anodiwa. Iyo furemu-yekududzira network inobva yaomesa mutsara wenguva uye super-resolution diffusion modules inosimudza ruzivo rwenzvimbo, ichishandura yakaomarara gumi nematanhatu-frame, yakaderera-res draft kuita yakatsetseka, inopinza clip mupombi yakapwanyika.

Mastering Make-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo

Make-A-Vhidhiyo ndeye Meta's 2022 sisitimu inosandura kurudziro kuita kavhidhiyo kapfupi pasina kumbodzidzira pane akanyorwa mavara-mavhidhiyo maviri. Izvo zvine basa nekuti zvakaratidza kuti ruzivo rwekuona mukati memavara-kune-mufananidzo modhi rinogona 'kudzidziswa' kufamba uchishandisa vhidhiyo isina kunyorwa chete. Make-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, tora Ita-A-Vhidhiyo Chinyorwa-ku-Vhidhiyo semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvingaitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa Make-A-Vhidhiyo Mavara-kune-Vhidhiyo kunyatsoenderana nezvinoitika 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.

Ramangwana reMake-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo

Make-A-Vhidhiyo's image-pre-plus-unlabeled-motion resipi yakadyara zvinyorwa-kune-vhidhiyo wave. Zvizvarwa zvaro zvinosimbisa kureba, kwepamusoro-resolution, zvimedu zvakagadzikana zvenguva pfupi zvine inodzoreka kamera inofamba uye odhiyo. Tarisira iyo yakakosha pfungwa, kushandisazve yakakura ruzivo rwemufananidzo uye kufamba kwekudzidza zvakachipa, kuenderera kunyange sezvivakwa zvinoshanduka kuenda kune transformer-based latent diffusion uye mamodheru akabatana anobvumawo mufananidzo kana vhidhiyo mamiriro ekugadzirisa nekuenderera mberi.

Real-World Implementation

Kusimudzira mutsara mumwe chete unotsanangura kuita kapfupi looping clip yesocial media post

Kuunza pfungwa yakamira senge 'teddy bear ipenda mufananidzo' kuhupenyu semufananidzo unofamba

Kupindirana pakati pemifananidzo miviri yakapihwa nemushandisi kugadzira vhidhiyo yekuchinja yakatsetseka

Kugadzira madhiramu ekukurumidza ekufamba ezviratidziro zvebhodhibhodhi pamberi pechero firimu

Maitiro Ekuita

Ita-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo mukuita

Kusimudzira mutsara mumwe chete unotsanangura kuita kapfupi looping clip yesocial media post.

Kusimudzira mutsara mumwe chete unotsanangura kuita kapfupi looping clip yesocial media Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

Ita-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo mukuita

Kuunza pfungwa yakamira senge 'teddy bear ipenda mufananidzo' semufananidzo unofamba.

Kuunza pfungwa yakamira senge 'teddy bear kupenda mufananidzo' kuhupenyu semufananidzo unofamba Zvikwata zvinowanzowana zvibodzwa zviri nani kana zvichitsanangudza hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Ita-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo mukuita

Kupindirana pakati pemifananidzo miviri yakapihwa nemushandisi kugadzira vhidhiyo yekuchinja yakatsetseka.

Kupindirana pakati pemifananidzo miviri yakapihwa mushandisi-inopihwa ichiri kugadzira vhidhiyo yekuchinja yakatsetseka 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.

Ita-A-Vhidhiyo Chinyorwa-kune-Vhidhiyo mukuita

Kugadzira madhiramu ekukurumidza ekufamba ezviratidziro zvebhodhibhodhi pamberi pechero firimu.

Kugadzira madhiragi ekukurumidza ekufambisa ezviratidziro zvenganonyorwa pamberi pese Matimu ekudhirowa anowanzo kuwana mhedzisiro iri nani kana achinge atsanangudza emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

Njodzi & Guardrails

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Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.

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Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.

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Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Implementation Roadmap

1

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.

2

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.

3

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.

4

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.

Ramba Uchiongorora