Fonction distance yuñ siñe
Fonction distance signée (SDF) dafay leeral jëmm 3D ci lay wax, ci bépp poñ ci jawwu ji, ba fu sori ci surface bi gëna jege, ak benn siñaal buy wax ndax danga ci biir wala ci biti.
Résumé
This compact, continuous representation powers modern 3D reconstruction, rendering, and shape generation.
Plongeur bu xóot
Du denc surface bu melni mbaal bu am ñatti kaar wala niir bu am poñ, SDF dafay denc benn fonction: feed ci bépp coordonnée 3D ba noppi mu delloo distance bi ci surface bi gëna jege, negatif ci biir mbir mi ak positive ci biti. Surface bi ci boppam mooy niveau zero bi, distance bi tollu ci zero. SDF yi dañu nooy te dañuy wéy, moo tax dañuy wane jëmm ci dayo bu amul àpp, ba noppi ñuy def jëf geometrik yu rafet: jaxase ñaari jëmm, offset surface, wala ordinatër normal yépp nekk math bu yomb. Ci IA, reso neuronal yu melni DeepSDF dañu jàng SDF ngir kategori mbir yépp, ñuy kode jëmm ju nekk ni kodu nëbbu bu dëgër. Dañuy jàppale sistemu rendu neuronal yi ak tabaxaat surface yu baax yu melni NeuS ak VolSDF.
Gis-gis xarala
SDF dëgg mingi méngoo ak equation eikonal bi, loolu dafay tekki ni gradient bi amna magnitude benn fépp, te gradient boobu dafay wane surface normal bi. Rendering dafay jëfandikoo toppu bul: daal di tàmbalee ci cosaanu rayon bi, mën nga jàll ci kanam ci valeur SDF (distance bi ci surface bi gëna jege) te doo romb, nga baamtu ba nga yegg ci zero crossing bi. SDFs neuronal yi dañuy wecci griy seetlu ak reso bu ndaw boole ci kode bu nëbbu, jàng jëmm yu wéy ak feesal bërëb yi ci done yu néew.
njeextalu pexe
Gaawaay ak yaatuwaay
Visual IA mën na otomatise saytu, gis ak etiketu liggéey ci eskaal.
Tabax tànneef
Ekipu kreatif yi mën nañu defar konsept yu gëna gaaw te duñu def lu bari ci loxo.
Ekip ak def liggéey
Liggéeyukaay yi mën nañu jëfandikoo siñaal nataal wala wideo yu jafewoon lool ci liggéey.
Ëlëgu fonction distance yuñ siñe
SDFs ñu ngi gëna nekk yax ci tabaxaat 3D bu baax ci nataal ak wideo, ñuy faral di boole wala di joŋante ak Gaussian splatting ngir gaawaay. Xeetu hybrid neural-SDF dafay gëna gaaw ci tàggat ak render, loolu mooy tax ñu mëna soppali, leeral 3D yi ngir jeu yi, film yi ak AR yi. Xaarandil gëna mëna jëfandikoo jumtukaay yu woyof yi, surface yu ubbeeku yi, ak seen yu am doole, boole ci model yu defar ay geometrie yu sell, yu dëgër ni SDF ngir jëmmal, simulation, ak impression 3D.
Doxal ci àdduna dëgg
Demo grafik yi ak jeu yi ci jamono dëgg dañuy jëfandikoo SDF ak toppu bul ngir wane surface yu nooy, yu bari ay detay ak ay lëndëm yu woyof.
Pexem tabaxaat neuronal (NeuS, VolSDF) dafay defaraat ay mbir ak ay seen yu 3D yu mënul dugg ndox ci ay nataal.
Robotics ak CAD dañuy jëfandikoo SDF ngir saytu mbëkkante bu gaaw ak jaxasoo bu baax ci diggante piis yi ci defar jëmm.
Modèle generatif yu melni DeepSDF dañuy kode kategori mbir yi, suko defee ñu mëna jël jëmm yu bees te mat wala ñu matt leen ci ay scanner yu xaaj.
Risk yi ak balustrade yi
Yelleefi nataal ak nangu mën na nekk risku yoon sudee fi ñu bawoo leerul.
Performance model bi mën na wuute ci leeraay bi, demographie bi ak environmaa bi.
Njuumteg positive yi mën nañu dem te kenn duko seetlu fileek xool wuñu buntu wóolu sa bopp.
Roadmap ngir samp gi
Mandargal kritërium nangug njub, woowaat ak njëgu njuumte.
Saytu ak done yu méngoo ak anam yi ñuy liggéeyee dëgg.
Yokk jàngat nit ngir xam fu wóorul dara wala am njeexital yu rëy.
Toppal model drift bi nga baaxal ko ginaaw bi kamera bi wala done yi soppeekoo.
Weyal di banneexu
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Gis bi ci topp
Distance bi Fréchet tàmbalee
Laaj yi ñuy faral di laaj
What is Signed Distance Functions?
Fonction distance signée (SDF) dafay leeral jëmm 3D ci lay wax, ci bépp poñ ci jawwu ji, ba fu sori ci surface bi gëna jege, ak benn siñaal buy wax ndax danga ci biir wala ci biti. Reprezansioŋ bu dëgër te wéy bi dafay dooleel tabaxaat 3D bu bees bi, rendu ak defar jëmm.
Lan la fonction distance buñu siñe di delloo ci benn point 3D buñ jox?
SDF dafay xayma bépp poñ ci digganteem ak surface bi gëna jege; màndarga bi dafay wane ndax poñ bi mingi ci biir (negatif) wala ci biti (positif).
Fan la surface SDF bi nekk?
Surface mooy barabu poñ yi distance biñ siñe nekk nul ndànk, di yam ci biir ak biti.
Ban màndarga mooy gradient SDF dëgg?
SDF bu baax dafay topp equation eikonal bi, kon gradient bi amna guddaay bu benn fépp ak poñ yi ci surface normal bi.
naka lay def ba toppu bul bi di jëfandikoo valeur SDF bi?
Ndax SDF mooy joxe distance bi ci surface bi gëna jege, rayon bi mën na awaase ci anam wu wóor te du romb, di baamtu ba muy yegg ci zero.
Lan la DeepSDF di jëfandikoo ngir wane benn jëmm?
DeepSDF dafay kode jëmm ju nekk ni vecteur latent bu am dimension bu woyof buy indi reso buy wax luy waaja am ci SDF bi, loolu mooy tax jëmm yu kompact te wéy di am.