YingVideo-MV: Music-Driven Multi-Stage Video Generation

• URL: http://arxiv.org/abs/2512.02492v1
• Date: Tue, 02 Dec 2025 07:31:19 GMT
• Title: YingVideo-MV: Music-Driven Multi-Stage Video Generation
• Authors: Jiahui Chen, Weida Wang, Runhua Shi, Huan Yang, Chaofan Ding, Zihao Chen,
• Abstract summary: We present YingVideo-MV, the first cascaded framework for music-driven long-video generation.<n>Our approach integrates audio semantic analysis, an interpretable shot planning module, temporal-aware diffusion Transformer architectures.<n>We construct a large-scale Music-in-the-Wild dataset to support the achievement of diverse, high-quality results.
• Score: 22.89609000437466
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While diffusion model for audio-driven avatar video generation have achieved notable process in synthesizing long sequences with natural audio-visual synchronization and identity consistency, the generation of music-performance videos with camera motions remains largely unexplored. We present YingVideo-MV, the first cascaded framework for music-driven long-video generation. Our approach integrates audio semantic analysis, an interpretable shot planning module (MV-Director), temporal-aware diffusion Transformer architectures, and long-sequence consistency modeling to enable automatic synthesis of high-quality music performance videos from audio signals. We construct a large-scale Music-in-the-Wild Dataset by collecting web data to support the achievement of diverse, high-quality results. Observing that existing long-video generation methods lack explicit camera motion control, we introduce a camera adapter module that embeds camera poses into latent noise. To enhance continulity between clips during long-sequence inference, we further propose a time-aware dynamic window range strategy that adaptively adjust denoising ranges based on audio embedding. Comprehensive benchmark tests demonstrate that YingVideo-MV achieves outstanding performance in generating coherent and expressive music videos, and enables precise music-motion-camera synchronization. More videos are available in our project page: https://giantailab.github.io/YingVideo-MV/ .

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