Speculative Sampling in Interactive Video Generation
Interactive video generation commonly relies on small bidirectional chunks to reduce response latency.
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Key points
- Yet our preliminary experiments show that larger chunks improve video quality and better utilize GPU parallelism, allowing more latents to be sampled with only a modest increase in sampling time.
- Motivated by these observations, we propose Speculative Sampling, a strategy that combines the modeling power of large bidirectional windows with the low-latency interaction of small ones.
- Bidirectional window size thus becomes a decision variable for jointly optimizing visual quality and sampling time, rather than a necessary constraint on low-latency interaction.
- This opens a path to serving large bidirectional models in interactive streaming systems without complex streaming post-training.
Sources (2)
- [1]Speculative Sampling in Interactive Video GenerationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 05:45 PM
Interactive video generation commonly relies on small bidirectional chunks to reduce response latency.
Yet our preliminary experiments show that larger chunks improve video quality and better utilize GPU parallelism, allowing more latents to be sampled with only a modest increase in sampling time.
- [2]Speculative Sampling in Interactive Video GenerationHugging Face Daily Papers · Oct 14, 12:00 AM · same content
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