Gaussian Splatting Kediska

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

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. Maxaa loo isticmaalaa si loogu oggolaado midabka baluubka inuu beddelo xagal daawashada?
   • JPEG cadaadis
   • Qiimaha RGB go'an oo keliya
   • Harmonics Spherical
   • Sawaxan random
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