InoteveraGaidhi rinotevera
Neural Radiance Fields
AI Yekutarisa
Gwara reVisual AI
Plenoxels uye Voxel Radiance Minda
Plenoxels (plenoptic voxels) is an explicit radiance-field representation that stores scene values in a sparse voxel grid and optimizes them without a neural network.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
The paper reports quality comparable to NeRF with much shorter optimization on its evaluated benchmarks; speed and quality depend on scene and implementation.
Kudzika Kwakadzika
Plenoxels (Fridovich-Keil, Yu and colleagues, 2022) represents a scene with a sparse 3D grid, storing opacity and spherical-harmonic coefficients for view-dependent color in occupied voxels. It optimizes these parameters directly with gradient-based methods and regularization, without an MLP. Rendering uses trilinear interpolation along rays and standard volume rendering. On the paper’s benchmark settings, Plenoxels achieved quality comparable to NeRF while reducing optimization time by about two orders of magnitude; the authors report roughly 11 minutes for typical bounded scenes on a single Titan RTX, versus about a day for NeRF. These times are specific to their implementation and setup.
Kuitwa muNyika yeChokwadi
Comparing explicit voxel-grid optimization with neural radiance fields on a bounded scene
Inspecting the opacity and view-dependent color coefficients used by a radiance-field representation
Testing sparse storage when most of a scene’s voxel volume is empty
Using total-variation regularization to encourage spatially smoother voxel coefficients
Ramangwana rePlenoxels uye Voxel Radiance Minda
Explicit radiance representations continue to be compared with neural fields and point-based methods. Their tradeoffs include memory use, scene bounds, optimization speed, and ease of editing. Plenoxels remains a useful result demonstrating that direct optimization of explicit scene parameters can work well under particular benchmark conditions.
Kuzvishandisa
Nei zvichikosha
- 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.
Chenjera
- 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.
Matanho anotevera
- 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
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Plenoxels and Voxel Radiance Fields quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
What is Plenoxels and Voxel Radiance Fields?
Plenoxels (plenoptic voxels) is an explicit radiance-field representation that stores scene values in a sparse voxel grid and optimizes them without a neural network. The paper reports quality comparable to NeRF with much shorter optimization on its evaluated benchmarks; speed and quality depend on scene and implementation.
Ndeipi inonyanya kushamisa dhizaini sarudzo muPlenoxels ichienzaniswa neNeRF?
Plenoxels inochengetedza chiitiko chakananga mugedhi yevoxel uye inokwidziridza izvo zvakakosha, pasina neural network mupombi.
Ko yega yega inogarwa voxel muPlenoxels chitoro kuti itore-inotsamira ruvara?
Imwe neimwe voxel inobata opacity pamwe ne spherical harmonic coefficients paruvara chiteshi, iyo inoisa kuti ruvara runochinja sei nekutarisa kutungamira.
Ndeupi kuenzanisa-nguva yekuenzanisa iyo Plenoxels bepa rakashuma pane ayo akaongororwa mabhenji?
Iro bepa rinoshuma zvingangoita 100 × nekukurumidza optimization pane yayo bhenji yekumisikidza, kusanganisira anenge 11 maminetsi eakajairwa akasungwa mapikicha pane imwe Titan RTX; ichi hachisi vimbiso kune yega chiitiko kana kuita.
Kokoshero dzinotorwa sei kubva kune voxel grid pamwe nemwaranzi?
Plenoxels inoshandisa inosiyanisa trilinear kududzira kuverenga ruvara uye opacity zvakanaka pakati pevoxel nzvimbo.
Ndeipi mhedziso inotsigirwa nePlenoxels 'benchmark results?
Vanyori vanoratidza network-yemahara voxel inomiririra inosvika kuenzana mhando pamabasa avo akaongororwa ebhenji; mhedzisiro yacho hairatidze kuti network haina basa zvachose.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi