arXiv:2506.20995v4 Announce Type: replace-cross Abstract: We propose a step-by-step video-to-audio (V2A) generation method that provides finer control over the generation process and more realistic audio synthesis. Inspired by traditional Foley workflows, our approach enables incremental generation of complementary sounds, allowing users to author multiple sound events induced by a video. To avoid the need for costly multi-reference video-audio datasets, each generation step is formulated as a negatively guided V2A process that discourages duplication of sounds already present in previously ge
The accelerating pace of multimodal AI research and generative capabilities drives continuous innovation in synthesizing complex sensory data like video and audio.
This development represents a significant step towards more sophisticated and controllable synthetic media, impacting content creation, virtual environments, and potentially AI agent perception.
The ability to generate complementary, incremental audio synchronized with video, with negative guidance for refinement, offers finer control and realism than previous video-to-audio synthesis methods.
- · Content creators
- · Gaming industry
- · Multimodal AI developers
- · Digital media companies
- · Traditional audio post-production (parts of it)
- · Stock audio libraries (for generic sounds)
More realistic and granular AI-generated video content with automatically synchronized sound.
Reduced production costs and faster iteration cycles for video and interactive media, leading to new forms of content.
Enhanced realism in virtual environments and potential applications in making AI agents' simulated perception more robust and believable.
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Read at arXiv cs.LG