DragGAN Interactive Editing Quiz

Answers and explanations appear as you take the quiz.

1. How does a user edit an image in DragGAN?
   • By dragging handle points toward target points
   • By typing a text prompt
   • By choosing from preset filters
   • By recording a voice command
2. What are DragGAN's two alternating core steps?
   • Encoding and decoding
   • Motion supervision and point tracking
   • Cropping and resizing
   • Blurring and sharpening
3. Why do DragGAN edits look realistic rather than smeared?
   • It uses extra sharpening filters
   • It copies pixels from stock photos
   • Edits stay on the GAN's learned image manifold
   • It increases image resolution
4. What does the optional mask in DragGAN control?
   • The image file format
   • The color palette
   • The output resolution
   • Which regions are allowed to move during editing
5. DragGAN was notably presented at which venue in 2023?
   • SIGGRAPH
   • The Olympics
   • A cooking competition
   • A music festival
6. Which follow-up direction extended drag editing beyond GANs?
   • Drag editing for audio files
   • Drag-based control for diffusion models
   • Drag editing for spreadsheets
   • Removing editing entirely
7. What does DragGAN’s point-tracking step do after an editing update?
   • It translates the image caption
   • It chooses a new GAN architecture
   • It relocates the handle to the feature’s new position in the generated image
   • It erases the target point from the image
8. Which follow-up approach applies drag-based editing to real photographs using a diffusion model?
   • CycleGAN
   • SPADE
   • EnCodec
   • DragDiffusion