Guide-linked quiz · Medium Level

CogVideo and CogVideoX Quiz

Compare CogVideo and CogVideoX architectures, including video-latent compression and the limits of open model licenses across specific releases.

Related guide pathsCogvideo And Cogvideox
Question 1 of 8

What did the CogVideo project’s 2022 paper introduce?

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  1. What did the CogVideo project’s 2022 paper introduce?
    • A large-scale text-to-video generation model using an autoregressive approach
    • A language-only model for document translation
    • A speech recognizer that outputs video
    • A static-image classifier with no video generation
  2. What does CogVideoX's 3D causal VAE accomplish?
    • It adds a soundtrack
    • It compresses video in space and time into a compact latent
    • It translates prompts into code
    • It removes all motion
  3. How does the Expert Transformer in CogVideoX handle text and video?
    • It ignores the text entirely
    • It processes them in completely separate models that never interact
    • It concatenates text and visual tokens so they attend to each other
    • It only uses text
  4. Which group developed CogVideo and CogVideoX?
    • OpenAI
    • Stability AI
    • Microsoft Research
    • Tsinghua University and Zhipu AI
  5. Which additional generation mode does the CogVideo project document for CogVideoX?
    • Image-to-video
    • Audio-to-video only
    • Video continuation for every checkpoint
    • Real-time live-stream editing
  6. What should developers check before using released CogVideoX weights or code?
    • Whether all model variants share identical permissions
    • The license and permitted uses for the specific model release
    • Whether the project guarantees commercial rights for every output
    • Whether open code removes the need to check model terms
  7. What does causal processing in CogVideoX’s video autoencoder mean at a high level?
    • The model can only generate silent video
    • Every frame is encoded with the same fixed vector
    • A frame’s representation is formed without using future frames
    • The model cannot use temporal information
  8. What license does the CogVideo repository list for the CogVideoX-2B model and its corresponding modules?
    • A single universal license for every CogVideoX checkpoint
    • No license of any kind
    • A prohibition on all research use
    • Apache 2.0

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