Novel View Synthesis Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Given photos of a scene, what does novel view synthesis try to produce?
   • Kumanikidza mifananidzo kuita madiki mafaira
   • Kuti ushandure zvinyorwa zvemufananidzo mune mimwe mitauro
   • Kuona zvinhu mumufananidzo mumwe
   • Kupa chiitiko kubva kumakamera maonero asina kutorwa pakutanga
2. Chii chinoita Neural Radiance Field (NeRF) mepu ye 3D chinzvimbo uye yekutarisa nzira?
   • Tsanangudzo yemavara
   • Ruvara (kupenya) uye vhoriyamu density
   • Nhamba yekamera
   • Chiratidzo cheaudio chakamanikidzwa
3. NeRF inopa sei pixel kune maonero matsva?
   • Nokukopa mufananidzo wepedyo wekudzidzisa zvakananga
   • Nekuenzanisa mapikseli ese ari mudhata
   • Ne volumetric ray kufora: sampling point padyo ne ray uye kubatanidza ruvara uye density
   • Nekumhanyisa kucherechedzwa kwehunhu
4. What distinguishes 3D Gaussian Splatting's scene representation from an original NeRF-style per-ray network evaluation?
   • Explicit 3D Gaussian primitives rendered through a differentiable rasterization approach
   • A representation containing no scene parameters or image observations
   • Only a table of audio phonemes
   • A method that copies a single input photo for every viewpoint
5. Nei nzira dzeNVS dzichigona kuburitsa zviratidziro uye zvinopenya zvinopenya?
   • Vanofuratira chiedza zvachose
   • Ivo vanotevedzera chitarisiko-chinoenderana nechitarisiko, saka ruvara runogona kuchinja nekutarisa kutungamira
   • Vanongopa ne grayscale
   • Vanoshandisa GPS coordinates
6. What representation technique is central to Instant-NGP's acceleration of neural graphics tasks?
   • Removing all input observations from training
   • Converting the scene into a spreadsheet of filenames
   • A guarantee of the same training time for every scene
   • A multiresolution hash encoding
7. What supplies the photometric training target in original NeRF scene optimization?
   • Observed pixel colors in the training images, compared with rendered colors
   • A required ground-truth 3D mesh for every scene
   • Only the scene's written caption
   • Only the final image's file size
8. Why did original NeRF use positional encoding on its coordinate inputs?
   • To identify the camera's serial number
   • To supply surveyed coordinates without measurements
   • To help the network represent high-frequency spatial and directional variation
   • To eliminate every need for a radiance-field network