Diffusion Models for Video Generation
lilianweng.github.io- Category
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- ARTICLE
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- @lilianweng
- Added
- Jul 21, 2026
About
Diffusion models have demonstrated strong results on image synthesis in past years. Now the research community has started working on a harder task—using it for video generation. The task itself is a superset of the image case, since an image is a video of 1 frame, and it is much more challenging because: It has extra requirements on temporal consistency across frames in time, which naturally demands more world knowledge to be encoded into the model. In comparison to text or images, it is
Why it made the leaderboard
A structured survey of how diffusion models extend from image to video generation, unpacking the temporal-consistency and data-scarcity problems that define the current research frontier — useful for engineers building or evaluating generative video systems.
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