Google Research has published a study titled “VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis,” introducing an AI model that utilizes personal image input and audio files to create videos that move in sync with voice, facial expressions, head movements, and even hand gestures.
This model stands out for its ability to generate motion throughout the image without the need for extensive personal data training and without the requirement to specify facial features and body parts. It presents an opportunity for use in presentations, teaching materials, or transforming existing text-based content into dynamic visuals. However, there is a risk of inappropriate usage as well.
Despite its capabilities, VLOGGER does have some limitations, such as the inability to create long videos and the constraint of stationary background scenes, which may still reveal the artificial intelligence behind the generated content. Access the full research details at VentureBeat.
TLDR: Google Research introduces VLOGGER, an AI model that creates dynamic videos based on personal images and audio inputs, with the potential for various applications but also some limitations.
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