Overview
DepthAnything ndiyo nheyo yemuenzaniso inofungidzira kuti kure kure kupi kwepixel yega yega kubva kune imwechete yakajairika foto, isina yakakosha hardware. Yakagadzira yakasimba, yakajairika-chinangwa kudzika inonzwa yakachipa uye inowanikwa kune chero chinhu kubva kumafoni kusvika kumarobhoti.
DepthAnything Monocular Depth ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
DepthAnything (2024, yakaburitswa nevatsvagiri vanosanganisira avo vari TikTok/ByteDance uye HKU) inobata monocular kudzika fungidziro: kufanotaura mepu yakadzika kubva kune imwe RGB mufananidzo. Kubudirira kwayo kwaive chiyero: pachinzvimbo chekuvimba chete nedata rakanyorwa rakanyorwa rakaganhurirwa riripo, timu yakavaka injini yakanyorwa otomatiki mifananidzo inosvika 62 miriyoni isina kunyorwa ichishandisa modhi yemudzidzisi, ndokuzodzidzisa mudzidzi pane hombe iyi. Izvi zvinopa yakasimba zero-pfuti generalization mukati memukati, kunze, uye zvisingawanzo zviitiko. Izvo zvekutanga zvakabuda zvakadzika kudzika (izvo mapixels ari pedyo kana kure, kwete chaiwo metres). DepthAnything V2 (yepakati-2024) yakarodza zvinhu zvakanaka nekudzidzisa mudzidzisi nezve data rekugadzira rine chokwadi chepasi-chakanaka, ndokuzoisa kumifananidzo chaiyo, kugadzirisa micheto isina kujeka uye zvikanganiso zvinoonekera-chinhu.
Technical Insight
Inoshandisa DINOv2 chiono-shanduko encoder ichidyisa DPT-maitiro dense kufanotaura musoro. Chinongedzo chakanyanya kutariswa semi-supervised distillation: mudzidzisi akadzidziswa pane yakanyorwa data pseudo-anonyora mamirioni emifananidzo isina kunyorwa, uye mudzidzi anodzidza kubva kune zvese. V2 inochinjanisa mavara chaiwo ane ruzha kune yekugadzira data ine pixel-yakakwana kudzika, yobva yadhinda ichidzokera kumifananidzo chaiyo, ichisiya kushomeka uye ruzha rwekudzika kwechokwadi zvirevo uchichengeta miganhu.
Kubata KudzikaAnything Monocular Depth
DepthAnything ndiyo nheyo yemuenzaniso inofungidzira kuti kure kure kupi kwepixel yega yega kubva kune imwechete yakajairika foto, isina yakakosha hardware. Yakagadzira yakasimba, yakajairika-chinangwa kudzika inonzwa yakachipa uye inowanikwa kune chero chinhu kubva kumafoni kusvika kumarobhoti. DepthAnything Monocular Depth ndeyekombuta-kuona mafambiro anodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, tora DepthAnything Monocular Depth semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa DepthAnything Monocular Depth balance accuracy nemashandiro anoita 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 mamepu akadzika kutyaira echokwadi kumashure blur (bokeh) mune imwe-lens smartphone portrait mafoto.
Kupa 3D chipingamupinyi maonero kune akaderera-mutengo drones uye marobhoti asina LiDAR kana stereo kamera.
Kugadzira kudzika mamiriro ekugadzirisa mamepu eControlNet saka majenareta emifananidzo anochengetedza chiitiko geometry.
Kushandura mafoto nemafirimu e2D kuita 3D kana parallax mhedzisiro yeVR uye stereoscopic kuratidza.
Maitiro Ekuita
DepthAnything Monocular Depth mukuita
Kugadzira mamepu akadzika kutyaira echokwadi kumashure blur (bokeh) mune imwe-lens smartphone portrait mafoto.
Kugadzira mamepu akadzika kutyaira echokwadi kumashure blur (bokeh) mune imwe-lens smartphone portrait mapikicha Matimu anowanzo kuwana mhedzisiro iri nani paanotsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
DepthAnything Monocular Depth mukuita
Kupa 3D chipingamupinyi maonero kune akaderera-mutengo drones uye marobhoti asina LiDAR kana stereo kamera.
Kupa 3D chipingamupinyi chekuona kune yakaderera-mutengo drones uye marobhoti anoshaya LiDAR kana stereo makamera 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.
DepthAnything Monocular Depth mukuita
Kugadzira kudzika mamiriro ekugadzirisa mamepu eControlNet saka majenareta emifananidzo anochengetedza chiitiko geometry.
Kugadzira kudzika kwemamiriro ekugadzirisa mamepu eControlNet kuitira kuti majenareta emifananidzo achengetedze chiitiko geometry 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.
DepthAnything Monocular Depth mukuita
Kushandura mafoto nemafirimu e2D kuita 3D kana parallax mhedzisiro yeVR uye stereoscopic kuratidza.
Kushandura mapikicha e2D nemafirimu kuita 3D kana parallax mhedzisiro yeVR uye stereoscopic kuratidza 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.