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DreamFusion iyo Dhibcaha Distillation Sampling Kediska

Fahmo hagaajinta NeRF ee DreamFusion, faafinta 2D ka hor, Saamaynta Distillation Dhibcaha, iyo habka bandhigidda aragtiyo badan.

Wadooyinka haga ee la xidhiidhaDreamfusion iyo Saamaynta Distillation Dhibcaha
Su'aal 1 ee 8

Waa maxay matalaadda 3D ee DreamFusion ay hagaajiso?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay matalaadda 3D ee DreamFusion ay hagaajiso?
    • A NeRF (Meelka Shucaaca Neural)
    • Mesh geeso badan
    • Daruur dhibic ka soo dareeme qoto dheer
    • Shabakadda voxel ee xogta CT
  2. Intee in le'eg ayay xogta tababarka 3D DreamFusion u baahan tahay?
    • Dhowr boqol oo sawir
    • Midna
    • Malaayiin moodallo CAD ah
    • Hal shay tixraac markiiba
  3. What is the computational shortcut in Score Distillation Sampling?
    • It trains a new diffusion model every step
    • Waxay isticmaashaa ma jirto gradients gabi ahaanba
    • It uses a stop-gradient score signal instead of backpropagating through the diffusion model’s full Jacobian
    • Waxay bixisaa hal aragti oo go'an oo kaliya
  4. Why did DreamFusion use high classifier-free guidance in its experiments?
    • Si loo yareeyo xusuusta GPU-da
    • Si loo sameeyo wax soo saarka midab cawl
    • To guarantee accurate geometry
    • To counter the oversmoothing tendency of SDS and encourage sharper prompt-conditioned results
  5. Qaabkee 2D u adeegsaday DreamFusion asalka ah sidii uu barafoobay ka hor?
    • Sawirka Google
    • Faafinta Deggan 1.5
    • DALL-E 2
    • Midjourney
  6. What artifact can arise when a 2D image prior guides a 3D scene across views?
    • A guaranteed watertight mesh
    • Duplicated faces or features on different sides of the object
    • A single grayscale output
    • A 3D object with no rendered views
  7. Why does DreamFusion render the NeRF from sampled camera angles during optimization?
    • To avoid using the NeRF representation
    • To replace the text prompt with camera metadata
    • To let the 2D prior provide guidance from multiple views of the 3D scene
    • To create an audio soundtrack
  8. What does an optimized NeRF allow a user to do with the generated scene?
    • Recover the original 3D training scan
    • Guarantee physically correct materials
    • Generate only the original training image
    • Render it from new viewpoints and relight it