Differentiable Rendering
Kupa kwakasiyana kunoita kuti maitiro ekushandura chiitiko che 3D kuita chifananidzo che 2D chinyatsosiyaniswa, saka unogona kuverengera magradients kubva kumapixels akashandurwa kudzokera kumamiriro echiitiko.
Pfupiso
This lets you optimize geometry, materials, lighting, and camera using gradient descent.
Kudzika Kwakadzika
Chinyakare shanduro inzira yenzira imwe chete: dyisa mu geometry, zvishandiswa, mwenje, uye kamera, uye mapikisesi anobuda. Inosiyanisa reverses reverses inoyerera nekombuta kuti yega yega pixel inobuda inoshanduka sei nekuremekedza kune yega yega paramende. Neaya magradients, optimizer inogona kugadzirisa chimiro che 3D kana maumbirwo ayo kudzamara mufananidzo wakapihwa uchienderana nemufananidzo waunonangwa, unova moyo wekupenengura uye kuongorora-ne-synthesis. Chinetso chikuru ndechekuti kupa kunosanganisira discontinuities, kunyanya pachinhu silhouettes uye occlusion edges, uko pixel inosvetuka kubva kumberi ichienda kumashure. Nzira dzakaita senge yakapfava rasterization (SoftRas), edge-sampling (Li et al.'s redner), uye rasterizer muPyTorch3D inobata izvi nekutsetseka kana yakakosha muganho wekubatanidza. NeRF kudzidziswa uye 3D Gaussian splatting akakurumbira maapplication.
Technical Insight
Dambudziko guru nderokuonekwa discontinuities. Pane silhouette yechinhu pixel inotora kubva kumberi kuenda kumashure, saka naive derivative iri zero kunenge kwese kwese uye isina kutsanangurwa kumucheto, isingapi hunobatsira gradient nezve chimiro. Mhinduro dzinogona kupfavisa chivharo kuitira kuti makonanhatu ape kutsvedzerera, kusajeka kwetsoka kune mapikisesi ari pedyo (soft rasterization) kana sampuli zvakajeka mumipendero kuverengera nguva yemuganhu wezvakabatanidzwa (kumucheto sampling).
Strategic Impact
Kumhanya uye chiyero
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
Vaka sarudzo
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
Team uye workflow
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Ramangwana Rokushandurwa Kwakasiyana
Kupa kwakasiyana kuri kuita kunobatanidza tishu pakati pemifananidzo uye kudzidza kwakadzama. Sezvinoita-chaiyo-nguva inosiyaniswa marender uye Gaussian-splatting mapaipi akakura, tarisira kusimba zvishwe zve 3D kuvakazve kubva kumifananidzo, neural material capture, marobhoti simulation ine inodzidzika fizikisi, uye ekupedzisira-kusvika-kumagumo masisitimu uko kurasikirwa kumwe chete kunoyerera kubva pamufananidzo wekupedzisira nzira yese kuenda kune yechiitiko paramita. Yakasiyana nzira yekutevera yekuvhenekera kuzere kwepasirese ibasa rinoshanda rekutsvagisa rinoenda kune hunoshanda.
Real-World Implementation
Kugadzira patsva chimiro uye magadzirirwo echinhu che3D kubva kune mashoma emifananidzo nekugadzirisa modhi kusvika marenders achienderana nemifananidzo (inverse rendering).
Kudzidzira maNeRF uye 3D Gaussian splats, uko gradients kubva kune yakashandurwa maonero anovandudza chimiro chechiitiko.
Kufungidzira zvimiro zvechinhu (hukasha, ratidziro) nekufananidza zvakapihwa mapeji nemufananidzo chaiwo.
Kamera uye pose calibration mumarobhoti, inokodzera inozivikanwa 3D modhi kumufananidzo wekamera kuti utore nzvimbo yayo.
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.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Ramba Uchiongorora
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What is Differentiable Rendering?
Kupa kwakasiyana kunoita kuti maitiro ekushandura chiitiko che 3D kuita chifananidzo che 2D chinyatsosiyaniswa, saka unogona kuverengera magradients kubva kumapixels akashandurwa kudzokera kumamiriro echiitiko. Izvi zvinokutendera kuti ukwidze geometry, zviwanikwa, mwenje, uye kamera uchishandisa gradient kudzika.
Chii chinosiyanisa kupa chinokuita kuti uverenge?
Nekuita kuti kupa kusiyanisa, iwe unowana magradients anoyerera kubva pixels achidzokera kune chiitiko mapipu, achigonesa gradient-based optimization.
Sei zvinhu silhouettes ari musimboti kuoma pakusiyanisa?
Pane silhouette pixel inotora pakati pemberi uye kumashure, saka naive derivative ndeye zero kana isina kutsanangurwa uye haina ruzivo rwechimiro.
Ko nyoro rasterization inogadzirisa sei dambudziko rekusaenderera mberi?
Yakapfava rasterization (semuenzaniso, SoftRas) inopfavisa kuvharika kuitira kuti gonyo rimwe nerimwe rinyatso kupesvedzera mapikseli akatenderedza, richigadzira giredhi anogona kushandiswa.
Chii chinonzi 'inverse rendering'?
Inverse revering inoshandisa inopatsanurika kupa kukwidziridza paramita yechiitiko kudzamara mufananidzo wakagadzirwa uchienderana nemufananidzo unocherechedzwa.
Ndeipi nzira yemazuva ano inotsamira pakupa kusiyanisa pakudzidziswa?
Ose maNeRFs uye 3D Gaussian splatting anogadziridzwa nekudzosera kumashure kurasikirwa-nzvimbo yekurasikirwa kuburikidza neanosiyanisika anopa.