Microsoft Research Asia’s AI team has introduced VASA-1, an innovative AI application showcased in a recent paper on arXiv. VASA-1 converts still images into animated representations with synchronized speech or song, exhibiting realistic facial expressions.
The research aimed to animate static images with accompanying audio tracks while ensuring authentic facial expressions. VASA-1 demonstrates remarkable success in this endeavor, producing animations that seamlessly synchronize with provided audio, as evidenced by sample videos on the project page.
By training VASA-1 on a diverse dataset encompassing thousands of images with varied facial expressions, the team achieved its impressive results. Notably, the system generates high-resolution (512-by-512 pixels) animations at 45 frames per second, with an average processing time of two minutes per video using a Nvidia RTX 4090 GPU.
While acknowledging the potential for creating lifelike avatars for gaming and simulation, the team refrains from releasing VASA-1 for general use due to concerns regarding potential misuse and ethical implications.
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