DUST3R Dense 3D Reconstruction Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndechipi chikamu chakakosha cheruzivo icho DUST3R HAIDI seyekupinza, kusiyana neyekare chimiro-kubva-kufamba?
   • Inozivikanwa kamera inomira uye calibration
   • Chero mifananidzo zvachose
   • Kadhi remifananidzo
   • Pera mumifananidzo
2. Ndeipi iyo yepakati inobuda iyo DUST3R's network inodzoreredza kune yega yega mufananidzo?
   • A text caption
   • A pointmepu yeper-pixel 3D coordes
   • Bhokisi rinosungirirwa
   • A segmentation mask
3. Mune DUSt3R yemifananidzo peya, ndeipi yekubatanidza furemu iyo ese mapointmaps anoratidzwa mukati?
   • Chimiro chepasi rose
   • Nyika GPS inoronga
   • Iyo coordinate frame yekamera yekutanga
   • Mufananidzo wega wega wakasiyana furemu
4. How can DUSt3R produce camera poses and pixel matches without receiving them as known input?
   • A separate calibration rig must provide every pose
   • Human annotators label each pixel correspondence
   • The model cannot produce either output
   • They can be recovered downstream from the predicted pointmaps and their alignment
5. DUST3R inobata sei anopfuura maviri ekuisa mifananidzo?
   • Inoita kurongeka kwepasi rose kusona pairwise pointmaps pamwechete
   • Inofuratira zvese kunze kwembiri
   • Inoita avhareji yemifananidzo kuita mufananidzo mumwe
   • Inoda network yakaparadzana pamufananidzo
6. Ndeipi nzira yekutevera inotambanudza DUST3R ine yakasimba dense yekufananidza?
   • ResNet
   • MASt3R
   • Stable Diffusion
   • NeRF
7. What additional per-pixel output accompanies DUSt3R pointmaps?
   • A speech transcript
   • A musical pitch label
   • A confidence map
   • A JPEG compression code
8. What model architecture does DUSt3R use to process image pairs?
   • A rule-based camera calibration script only
   • A convolutional audio vocoder
   • A database query engine
   • Transformer encoders and decoders with cross-view processing