MaskVAT
Video to audio generation model to enhance synchronization
Product Details
MaskVAT is a video-to-audio (V2A) generative model that exploits the visual features of videos to generate realistic sounds that match the scene. This model places special emphasis on the synchronization of the starting point of the sound with the visual action to avoid unnatural synchronization problems. MaskVAT combines a full-band high-quality universal audio codec and a sequence-to-sequence mask generation model to achieve competitiveness comparable to non-codec generation audio models while ensuring high audio quality, semantic matching, and time synchronization.
Main Features
How to Use
Target Users
The MaskVAT model is suitable for fields that need to convert visual content into audio content, such as video production, virtual reality, game development, etc. It is especially suitable for application scenarios that have high requirements for audio and visual synchronization, and can provide a more natural and realistic listening experience.
Examples
In film post-production, use MaskVAT to generate background sounds that match the scene.
In virtual reality applications, environmental sounds are dynamically generated based on the visual scene to enhance immersion.
During game development, corresponding sound effects are generated in real time based on the player's visual experience.
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