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About this paper
Lvmin Zhang, Shengqu Cai, Muyang Li, Gordon Wetzstein, Maneesh Agrawala
FramePack compresses older video history by allocating fewer context tokens to less important frames. It changes sampling order to limit error accumulation. In HunyuanVideo tests, inverted sampling had 2.68% semantic start–end drift, versus 3.33% for a DiffusionForcing-style noise baseline. This measured endpoint contrast does not establish that the video avoids drift, and inverted sampling had relatively small dynamic range.
Key insights
- Efficiently managing context length through progressive compression, where frame importance dictates compression level, can prevent forgetting in long video sequences without intractable computational cost.
- Manipulating the sampling order during generation (e.g., non-autoregressive planning) effectively disrupts the causal chain of error propagation, significantly reducing drifting.
- Discretizing continuous historical latent states into a finite set of tokens can mitigate observation bias and improve robustness against accumulated errors during inference, offering an alternative to continuous-space noise scheduling.
Summary by alphaXiv.
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