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Quiz sur les éclaboussures gaussiennes

Étudiez les primitives explicites et le moteur de rendu du Splatting gaussien 3D original, ainsi que l'optimisation, l'initialisation, la couleur directionnelle et la covariance.

Chemins de guidage associésÉclaboussures gaussiennes
Question 1 de 8

Which representation defines a scene in the original 3D Gaussian Splatting method?

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  1. Which representation defines a scene in the original 3D Gaussian Splatting method?
    • A required single hidden MLP with no explicit primitives
    • An explicit set of anisotropic 3D Gaussian primitives
    • Only one flat reference photograph
    • A text description with no spatial parameters
  2. Which rendering procedure is central to the original Gaussian Splatting method?
    • Projection and visibility-aware tile-based alpha blending
    • Only repeated MLP queries along every original NeRF ray
    • A rule that all primitives bypass training
    • Only a black-and-white image average
  3. Which property set is modeled for each primitive in the original method?
    • Only an output filename
    • Only a scalar volume-density field for the entire scene
    • Only one mandatory class label for all photographs
    • Position, covariance, opacity, and appearance
  4. Qu'est-ce qui permet à la couleur d'une goutte de changer en fonction de l'angle de vue ?
    • Compression JPEG
    • Une valeur RVB fixe uniquement
    • Harmoniques sphériques
    • Bruit aléatoire
  5. Which initialization supplies sparse points for the stated original method?
    • Structure from motion
    • A guaranteed complete manually built mesh
    • Only a text-to-image prompt
    • A required globally identical random point set
  6. When was the cited original 3D Gaussian Splatting research presented?
    • 2015
    • 2023
    • 2020
    • 2026
  7. In the paper’s adaptive density control, which operation can add coverage from a small Gaussian in an under-reconstructed region?
    • Deleting every observed image
    • Forcing every primitive to be one isotropic scene-wide blob
    • Cloning it into an additional primitive
    • Replacing its appearance with a mandatory text label
  8. Why parameterize the original Gaussian covariance through scale and valid rotation factors?
    • To guarantee that no scene artifact can occur
    • To turn every Gaussian into a text token
    • To remove all direction-dependent appearance parameters
    • To preserve a valid positive-semidefinite covariance form