New multi-agent framework aims to keep long-form video narratives consistent

Google Research says its unified system helps creators limit visual drift and reduce errors that spread through the video-generation pipeline.

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AI video co-director multi-agent pipeline. Top: The Orchestrator Agent utilizes MAB to navigate a factored creative action space. Bottom: The Pre-Production Agent synthesizes a creative brief, storyline, and visual assets to establish a consistent storyboard, which the Production Agent translates into synchronized keyframes, video clips, and audio. An MLLM Judge evaluates the final video to generate a factored reward signal which is propagated back to the MAB to iteratively refine the creative configuration over optimization loops.

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Google Research has announced a unified multi-agent framework for creators making long-form video narratives. The company says it can keep those narratives consistent over time while mitigating visual drift and limiting how errors propagate through the pipeline.

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New multi-agent framework aims to keep long-form video narratives consistent

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New multi-agent framework aims to keep long-form video narratives consistent

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