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Long Context Tuning for Video Generation

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AK

401,200 subscribers

38,271 views • 1 year ago •via X (Twitter)

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6 Comments

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AK1 year ago

discuss:

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Solar Heavy1 year ago

Come Around Music Video out now

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Ceyuan Yang1 year ago

thanks for sharing. Please check out webpage for more results

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Seung Oh Jung1 year ago

that women walks so much to the point she is running a marathon now at this point.

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tism1 year ago

Great work.

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Nemesis1 year ago

Long Context Tuning for Video Generation sounds like a fascinating area of research. It's exciting to see advancements in video processing!

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We propose Long Context Tuning (LCT) for scene-level video generation to bridge the gap between current single-shot generation and real-world narrative video productions. Homepage: Report:
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We propose Long Context Tuning (LCT) for scene-level video generation to bridge the gap between current single-shot generation and real-world narrative video productions. Homepage: Report:

Ceyuan Yang

46,813 views • 1 year ago

This is a step forward for long-context video tuning, which has already unlocked impressive multi-shot video generation pipelines from . Generating minutes- or even hour-long videos without drifting or forgetting is not "coming soon" -- it is already here. 3/4
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🔥1-min Interactive Video Generation with Multimodal Control🔥 Towards *long-context world model*, #LongVie is an end-to-end autoregressive framework for controllable ultra-long video generation - Page: - Paper: . Thanks AK
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Mixture of Contexts for Long Video Generation
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Mixture of Contexts for Long Video Generation

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Long video generation usually results in context increasing/scaling during chunk/frame-wise rollout. Considering context scaling may require context selection, we thus introduce the idea of MoE into long context modelling and propose Mixture of Contexts. All previous context/memory is considered while the chosen ones are computed in a data-driven manner. You can easily enjoy 7x compute savings.
1:44

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22,141 views • 10 months ago

Just for fun, here's what 32 simultaneous long-context generations with Qwen3 Next 80B looks like on an M3 Ultra. Using the new batch generation in mlx-lm. Context size for each is about 5k tokens:
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Mode Seeking meets Mean Seeking for Fast Long Video Generation paper:
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Mode Seeking meets Mean Seeking for Fast Long Video Generation paper:

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A video for context.
1:13

A video for context.

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the video for context
1:51

the video for context

star 🦋🌸

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A deep conversation with Nikolay Savinov, the Gemini long context pre-training co-lead… We go from the basics to what is needed to scale to infinite context to long context best practices for devs:
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A deep conversation with Nikolay Savinov, the Gemini long context pre-training co-lead… We go from the basics to what is needed to scale to infinite context to long context best practices for devs:

Logan Kilpatrick

252,322 views • 1 year ago

the video for context ❤️
2:27

the video for context ❤️

Mudit ♊

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