A zero-training VLM framework generates music from images via ABC notation, multi-modal RAG, and self-refinement while providing text and visual explanations for the outputs.
Vision-to-music generation: A survey
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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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Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach
A zero-training VLM framework generates music from images via ABC notation, multi-modal RAG, and self-refinement while providing text and visual explanations for the outputs.
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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.