Overview
Basa rakasainwa daro (SDF) rinotsanangura chimiro che 3D nekukuudza, kune chero nzvimbo iri muchadenga, kureba kwakadii kunzvimbo iri padyo, nechiratidzo chinotaura kuti uri mukati kana kunze. Iyi compact, inomiririra inomiririra inopa simba yemazuva ano 3D kuvakazve, kupa, uye kugadzira chimiro.
Akasainwa Distance Mabasa ndeekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Panzvimbo pekuchengetedza nzvimbo semesh yemakona matatu kana gore remapoinzi, SDF inochengeta basa: feed mune chero 3D coordination uye inodzosera chinhambwe kune chiri padhuze chepamusoro, chisina kunaka mukati mechinhu uye kunze kwakanaka. Nzvimbo yacho pachayo ndiyo zero level set, uko chinhambwe chakaenzana ne zero. MaSDF anotsvedzerera uye anoenderera mberi, saka anomiririra zvimiro pakugadziriswa kusingagumi uye kuita mashandiro ejometri anakidze: kusanganisa maumbirwo maviri, kugadzirisa pamusoro, kana komputa zvakajairika zvese zvinova nyore masvomhu. MuAI, neural network seDeepSDF dzidza SDF yezvikamu zvese zvezvinhu, encoding chimiro chega chega se compact latent kodhi. Ivo vanosimbisa neural rendering masisitimu uye yakakwirira-yemhando yepamusoro yekuvakazve seNeuS neVolSDF.
Technical Insight
SDF yechokwadi inogutsa eikonal equation, zvichireva kuti gradient yayo ine ukuru kwese kwese, uye gradient inonongedza pamusoro pepamusoro penguva dzose. Kupa kunoshandisa sphere tracing: kubva kwaanobva ray, unogona kufambira mberi zvakachengeteka neiyo SDF kukosha (chinhambwe kuenda kunzvimbo iri padyo) pasina kupfura, uchidzokorora kusvika warova zero kuyambuka. Neural SDFs inotsiva gidhi rekutarisa netiweki diki pamwe nekodhi yakavanzika, kudzidza inoenderera maumbirwo uye kuzadza mapeji kubva kune chikamu data.
Mastering Akasaina Distance Mabasa
Basa rakasainwa daro (SDF) rinotsanangura chimiro che 3D nekukuudza, kune chero nzvimbo iri muchadenga, kureba kwakadii kunzvimbo iri padyo, nechiratidzo chinotaura kuti uri mukati kana kunze. Iyi compact, inomiririra inomiririra inopa simba yemazuva ano 3D kuvakazve, kupa, uye kugadzira chimiro. Akasainwa Distance Mabasa ndeekombuta-kuona mafambiro anodudzira kana kuburitsa midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, bata Basa rakasainwa semushandisi wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye kupatsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune izvo zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Signed Distance Functions kuenzanisa kurongeka nezvinoitika zvekushanda zvakaita 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
Real-time graphics demos nemitambo inoshandisa maSDF ane sphere tracing kupa yakapfava, isingaperi yakadzama nzvimbo uye mimvuri yakapfava.
Neural reconstruction nzira (NeuS, VolSDF) inodzoreredza isina mvura 3D meshes yezvinhu uye zviratidziro kubva seti yemifananidzo.
Robhoti uye CAD vanoshandisa maSDF ekukurumidza kudhumhana kutarisa uye kutsvedzerera kusanganisa kwezvikamu panguva yekugadzira chimiro.
Mamodheru ekugadzira senge DeepSDF encode chinhu zvikamu saka zvitsva, zvimiro zvakakwana zvinogona kutorwa kana kupedzwa kubva kune chikamu scans.
Maitiro Ekuita
Yakasainwa Distance Mabasa mukuita
Real-time graphics demos nemitambo inoshandisa maSDF ane sphere tracing kupa yakapfava, isingaperi yakadzama nzvimbo uye mimvuri yakapfava.
Real-time graphics Demos nemitambo inoshandisa SDFs ine sphere yekutsvagisa kupa yakatsetseka, isingaperi yakadzama nzvimbo uye mimvuri yakapfava Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Yakasainwa Distance Mabasa mukuita
Neural reconstruction nzira (NeuS, VolSDF) inodzoreredza isina mvura 3D meshes yezvinhu uye zviratidziro kubva seti yemifananidzo.
Neural reconstruction nzira (NeuS, VolSDF) inodzoreredza isina mvura 3D meshes yezvinhu uye zviratidziro kubva kune seti yemifananidzo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvekubereka uye kukanganisa mutengo nekufamba kwenguva.
Yakasainwa Distance Mabasa mukuita
Robhoti uye CAD vanoshandisa maSDF ekukurumidza kudhumhana kutarisa uye kutsvedzerera kusanganisa kwezvikamu panguva yekugadzira chimiro.
Marobhoti neCAD anoshandisa maSDF ekukurumidza kudhumhana kutarisa uye kusanganisa kwakatsetseka kwezvikamu panguva yekugadzira chimiro 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.
Yakasainwa Distance Mabasa mukuita
Mamodheru ekugadzira senge DeepSDF encode chinhu zvikamu saka zvitsva, zvimiro zvakakwana zvinogona kutorwa kana kupedzwa kubva kune chikamu scans.
Mamodheru ekugadzira senge DeepSDF encode echinhu zvikamu saka zvitsva, zvimiro zvakakwana zvinogona kuenzanisirwa kana kupedzwa kubva kune chikamu scans 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.
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.