GLANCE introduces a bi-loop multi-agent framework with global-local coordination mechanisms that outperforms baselines by up to 33% on music-grounded nonlinear video editing tasks using a new MVEBench benchmark.
arXiv preprint arXiv:2410.05586 (2024) Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity
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The paper surveys the evolution of video trailer generation from extractive heuristics to generative AI methods and proposes a new taxonomy for future systems based on autoregressive and foundation models.
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GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing
GLANCE introduces a bi-loop multi-agent framework with global-local coordination mechanisms that outperforms baselines by up to 33% on music-grounded nonlinear video editing tasks using a new MVEBench benchmark.
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Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity
The paper surveys the evolution of video trailer generation from extractive heuristics to generative AI methods and proposes a new taxonomy for future systems based on autoregressive and foundation models.