Overview
Mip-NeRF inogadzirisa zvakasvibirira, zvimisikidzo zvinonetsa iyo yekutanga NeRF paunopa zviratidziro pamadaro akasiyana kana sarudzo. Inoita izvi nekutsvaga makoni panzvimbo pemwaranzi yakatetepa, ichiita 3D chiitiko ichipa zvese zvakapinza uye nekukurumidza kudzidzisa.
Mip-NeRF uye Anti-Aliased Radiance Minda ndeyekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Iyo yekutanga NeRF inosample chiitiko pamwe nemwaranzi yakatetepa, imwe poindi panguva, uye inodyisa yega yega 3D chinzvimbo muneural network. Dambudziko: poindi imwe chete inofuratira kuti yakawanda sei yechiitiko pixel inovhara. Pixel padyo nekamera inoona dunhu diki; iyo pixel iri kure inoona yakakura. Kuvatora zvakafanana kunokonzeresa kushamwaridzana - kupenya uye jaggies paunenge uchikwevera kana kufamba. Mip-NeRF (Barron et al., 2021) inotsiva ray yega yega nekoni uye inoipatsanura kuita conical frustums. Panzvimbo yekukodha poindi, inoisa nharaunda mukati meiyo frustum yega yega ichishandisa yakasanganiswa yekumisikidza encoding (IPE), ichienzanisa vhoriyamu neGaussian. Izvi zvinobvumira imwechete multiscale network kupa chero sarudzo zvakachena, kucheka kukanganisa uye nguva yekudzidziswa zvakanyanya.
Technical Insight
Iyo kiyi yehunyengeri ndeye yakabatanidzwa positional encoding. Standard NeRF inomepu poindi kuburikidza nesine uye cosine inoshanda pane akawanda mafrequency. Mip-NeRF pachinzvimbo inofungidzira iyo conical frustum seyakawanda Gaussian uye inoverengera kukosha kunotarisirwa kweaya sinusoids pamusoro peGaussian iyoyo. Yakakwira-frequency maficha ayo anosiyana zvakanyanya mukati meiyo frustum hombe anongodzikira akananga ku zero, kusvika pari zvino kana matunhu akaomarara anoshandisa chete yakagadzikana yakaderera-frequency ruzivo - chaizvo maitiro e-anti-aliasing emamipmaps mune yekare girafu.
Mastering Mip-NeRF uye Anti-Aliased Radiance Minda
Mip-NeRF inogadzirisa zvakasvibirira, zvimisikidzo zvinonetsa iyo yekutanga NeRF paunopa zviratidziro pamadaro akasiyana kana sarudzo. Inoita izvi nekutsvaga makoni panzvimbo pemwaranzi yakatetepa, ichiita 3D chiitiko ichipa zvese zvakapinza uye nekukurumidza kudzidzisa. Mip-NeRF uye Anti-Aliased Radiance Minda ndeyekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuvaka kunzwisisa kwakadzama, bata Mip-NeRF neAnti-Aliased Radiance Fields semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Mip-NeRF uye Anti-Aliased Radiance Fields kuenzanisa kurongeka 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.
Real-World Implementation
Kupa chinhu chakatorwa zvakachena muchioni chechigadzirwa chinoita kuti vashandisi vaswededze kubva pane yakazara-kamuri yekuona pasi kusvika kune yakanakisa pamusoro pezvinhu pasina kupenya.
Kugadzirazve zviratidziro zvakakura zvekunze (kuburikidza neMip-NeRF 360) yekushanya chaiko uye real-estate mafambiro uko kamera inofamba kuburikidza nehupamhi hwakadzama.
Kugadzira inopindirana yekudzidziswa mifananidzo pazvisarudzo zvakawanda zvemarobhoti kana autonomous-kutyaira simulators.
Kugadzira crisp synthetic novel-view mafuremu efirimu uye VFX previsualization uko aliasing yaizopwanya pfuti.
Maitiro Ekuita
Mip-NeRF uye Anti-Aliased Radiance Minda mukuita
Kupa chinhu chakatorwa zvakachena muchioni chechigadzirwa chinoita kuti vashandisi vaswededze kubva pane yakazara-kamuri yekuona pasi kusvika kune yakanakisa pamusoro pezvinhu pasina kupenya.
Kupa chinhu chakabatwa zvakachena muchioni chechigadzirwa chinoita kuti vashandisi vaswededze kubva payakazara-kamuri yekuona pasi kusvika kune yakanakisa pamusoro pepamusoro pasina kupenya Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Mip-NeRF uye Anti-Aliased Radiance Minda mukuita
Kugadzirazve zviratidziro zvakakura zvekunze (kuburikidza neMip-NeRF 360) yekushanya chaiko uye real-estate mafambiro uko kamera inofamba kuburikidza nehupamhi hwakadzama.
Kuvakazve zvimiro zvakakura zvekunze (kuburikidza neMip-NeRF 360) yekushanya chaiko uye real-estate mafambiro uko kamera inofamba kuburikidza nehupamhi hwakadzama 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.
Mip-NeRF uye Anti-Aliased Radiance Minda mukuita
Kugadzira inopindirana yekudzidziswa mifananidzo pazvisarudzo zvakawanda zvemarobhoti kana autonomous-kutyaira simulators.
Kugadzira inopindirana yekudzidziswa mifananidzo pazvigadziriso zvakawanda zvemarobhoti kana akazvimirira-kutyaira simulators Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Mip-NeRF uye Anti-Aliased Radiance Minda mukuita
Kugadzira crisp synthetic novel-view mafuremu efirimu uye VFX previsualization uko aliasing yaizopwanya pfuti.
Kugadzira crisp synthetic novel-view mafuremu emufirimu uye VFX previsualization uko kushambadza kwaizopwanya pfuti 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.
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.