Kediska Soo Celinta Wajiga GFPGAN

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Qaabkee horay loo sii tababaray ayaa bixiya GFPGAN 'wejiga hore ee curinta'?
   • StyleGAN2
   • BERT
   • ResNet-50
   • Faaqid
2. What is the role of GFPGAN’s CS-SFT layers?
   • They compress the image file
   • They blend prior features with input-specific information to balance realism and fidelity
   • They translate captions
   • They detect objects in the background
3. What does the GFPGAN paper report about inference?
   • It needs exactly 50 optimization passes
   • It performs one pass per image pixel
   • It restores facial details in a single forward pass
   • It iterates until the input becomes a perfect photograph
4. Qaabkee saaxiibka inta badan lagu lammaaniyo GFPGAN si loo maareeyo asalka?
   • GPT-4
   • YOLO
   • Faafinta XL
   • Real-ESRGAN
5. Inta lagu jiro tababarka, muxuu GFPGAN U baahnayn?
   • Sawirro tayo sare leh oo isku mid ah oo isla qof gaar ah leh
   • khasaare cadawtinimo
   • Waji hore loo tababaray
   • Luminta garashada
6. Waa maxay walaaca anshaxa ee muhiimka ah ee soo celinta qaabka GFPGAN?
   • Waxay isticmaasha koronto aad u yar
   • Waxay abuuri kartaa faahfaahin macquul ah oo waji ah oo aan ku jirin asalka
   • Waxay kaliya ka shaqeysaa kartoonnada
   • Waxay si toos ah u tirtirtaa faylka asalka ah
7. What is the full name of GFPGAN’s CS-SFT component?
   • Color-Space Semantic Face Tracking
   • Convolutional Style-Filter Training
   • Channel-Split Spatial Feature Transform
   • Channel-Specific Super-Resolution Fourier Transform
8. In blind face restoration, what does “blind” mean?
   • The face is hidden behind an object
   • The system only processes black-and-white images
   • The model never sees an input image
   • The exact degradation process is not known in advance