Kediska Sawirka Hal-abuurka ee Muse Masked

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Muxuu Muuse saadaaliyay inta lagu jiro jiilka halkii uu diidi lahaa pixels?
   • Si toos ah qiimaha pixel RGB ceeriin
   • Astaamaha sawirka gaarka ah ee la daboolay ee ka yimid buugga koodka VQGAN
   • Vector-ku wuxuu u garaacaa sida barnaamijka sawir-gacmeedka vector
   • Maab qotodheer oo hadhow lagu midabeeyay
2. What feature contributes to Muse's reported sampling efficiency relative to the evaluated sequential image-token baseline?
   • Generating only monochrome outputs
   • Removing all text-encoder computation
   • Guaranteeing completion of every image in a single pass
   • Predicting multiple masked image tokens in each decoding round
3. How does original Muse condition image prediction on its text prompt?
   • With embeddings from a pretrained frozen T5-XXL encoder
   • With an untrained word-frequency table
   • By reading only the first character
   • By turning off text processing during inference
4. Waa maxay doorka kalsoonida-ku-salaysan ee Muuse?
   • Waxay tirtirtaa sawirada tababarka tayada hooseeya
   • Waxay cadaadisaa faylka sawirka ugu dambeeya
   • Waxay ilaalinaysaa saadaasha calaamada kalsoonida waxayna dib u qarinaysaa kuwa aan la hubin ee wareega xiga
   • Waxay qiimaysaa tayada degdegga ah ee isticmaalaha
5. How does Muse's two-stage token pipeline produce a higher-resolution image representation?
   • It enlarges the output only with a blur filter
   • It predicts all resolutions with no additional model
   • It discards the text condition before the second stage
   • A super-resolution token model uses the base representation to predict a higher-resolution token grid
6. Shaqo noocee ah ayuu Muuse dabiici ahaan ku habboon yahay maadaama uu saadaaliyay gobollo weji-gaaban?
   • Qoraal maqal ah
   • Rinjiyeynta iyo rinjiyeynta
   • Xisaabinta xaashida
   • Fiidiyowga oo kaliya
7. After Muse predicts its image-token grid, which component reconstructs pixels?
   • The text prompt's keyboard input handler
   • An AIS transponder
   • The corresponding VQGAN tokenizer decoder
   • The training-caption file name
8. Why does a quoted Muse image-model parameter count omit some parameters used by the full generation system?
   • The frozen T5-XXL text encoder is an additional component
   • Every frozen model has zero stored parameters
   • The model count measures only PNG file bytes
   • The text encoder becomes the image tokenizer at runtime