Guide-linked quiz · Medium Level

Tune-A-Video One-Shot Editing Quiz

Test how Tune-A-Video adapts an image diffusion model using one video, temporal attention, inversion, and text-guided edits.

Question 1 of 8

What base model does Tune-A-Video start from before adapting it for video?

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  1. What base model does Tune-A-Video start from before adapting it for video?
    • A pretrained text-to-image diffusion model like Stable Diffusion
    • A large language model
    • A video model trained from scratch on millions of clips
    • A GAN-based image generator
  2. What does 'one-shot' refer to in Tune-A-Video?
    • Generating in a single denoising step
    • Tuning on just one source video
    • Using one prompt for the whole dataset
    • Running on a single GPU
  3. How does Tune-A-Video’s sparse causal attention connect video frames?
    • Frames are generated fully independently
    • Every frame is averaged into one image
    • Each frame can attend to the first frame and the preceding frame
    • Attention is disabled across all frames
  4. What does DDIM inversion provide before Tune-A-Video samples an edit?
    • A compressed audio track
    • A new video caption
    • A camera calibration file
    • A source-conditioned latent that guides generation from the input video
  5. During tuning, what does Tune-A-Video primarily update to stay efficient?
    • A small set of attention/temporal parameters
    • Every weight in the full model
    • Only the text encoder vocabulary
    • The image decoder only
  6. What limitation motivated later tuning-free video-editing methods?
    • It can only edit audio
    • Tune-A-Video requires per-video tuning before editing a new clip
    • It supports no text prompt
    • It was trained only on black-and-white images
  7. Which editing capability did the Tune-A-Video paper demonstrate?
    • Automatic speech-quality scoring
    • 3D camera-pose recovery from photos
    • Text-guided style transfer on a source video
    • Instrument-stem separation
  8. Which content change can Tune-A-Video apply to a source clip using text?
    • Measuring packet latency
    • Estimating pitch from a monophonic signal
    • Recovering 3D scene geometry from uncalibrated photos
    • Changing a subject or background while trying to retain source motion

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