Kediska Soo kabashada Wajiga Hore ee Codka adag

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Sidee buu CodeFormer asal ahaan u qaabeeyaa dhibaatada soo celinta wejiga?
   • Sida saadaasha kood gaar ah oo laga soo qaatay buug-codeed la bartay
   • Sida regression pixel joogto ah
   • Sida qoraal maqal ah
   • Sida soo koobidda qoraalka
2. Qaybtee ayaa saadaalisa buuga koodka ee la isticmaalayo?
   • Soosaaraha nambarka random
   • Transformer
   • Geed go'aan
   • A Fourier transformer
3. Why can CodeFormer’s discrete codebook help with severely degraded faces?
   • It converts images to grayscale
   • Waxay ka saartaa dhammaan macluumaadka midabka
   • It constrains predictions to a learned vocabulary of facial visual atoms
   • It requires the input to be pristine
4. What does CodeFormer’s controllable feature transformation setting adjust?
   • Image resolution only
   • File format
   • Tirada wejiyada ee la ogaaday
   • The trade-off between fidelity to the input and restored visual quality
5. Goobtee ayaa lagu daabacay CodeFormer?
   • NeurIPS 2022
   • SIGGRAPH 1999
   • Joornaal cunto karinta
   • Weligeed lama daabicin
6. Farsamo noocee ah ayuu ka helay tababbarka codebook?
   • Dib u noqoshada toosan
   • Nashqada VQGAN-nooca qiyaasta qiyaasta
   • Xog ururin
   • Macro xaashida
7. What two needs does the CodeFormer paper identify for blind face restoration guidance?
   • Changing image format and compressing files
   • Detecting camera brand and lens type
   • Improving the degraded-input mapping and complementing details lost from the input
   • Removing color and resizing the image
8. What kinds of test data did the CodeFormer paper use in its reported experiments?
   • Only hand-drawn illustrations
   • Only pristine studio portraits
   • Audio and text datasets
   • Synthetic and real-world degraded faces