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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- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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