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In recent years, video generation has become a prominent generative tool andhas drawn significant attention. However, there is little consideration inaudio-to-video generation, though audio contains unique qualities like temporalsemantics and magnitude. Hence, we propose The Power of Sound (TPoS) model toincorporate audio input that includes both changeable temporal semantics andmagnitude. To generate video frames, TPoS utilizes a latent stable diffusionmodel with textual semantic information, which is then guided by the sequentialaudio embedding from our pretrained Audio Encoder. As a result, this methodproduces audio reactive video contents. We demonstrate the effectiveness ofTPoS across various tasks and compare its results with current state-of-the-arttechniques in the field of audio-to-video generation. More examples areavailable at https://ku-vai.github.io/TPoS/

The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion