Audio-to-Animation Bittensor Subnet 25
Audio-to-Animation (A2A), also referred to as audio-driven animation, generates visuals that dynamically respond to audio input. This technology specialises in animating body motions of characters and finds applications across wide range of domains including livestreaming, virtual companions, education, gaming agents, metaverses, and more.
Looking ahead, the vision for the Audio-to-Animation subnet stretches far beyond just character movements, but instead also lay the groundwork for an Audio-to-Video neural network that sculpts the entire visual experiences. This would open up a whole new realm of creative possibilities, from movies to media to films and beyond.
Leveraging the Bittensor Protocol infrastructure, the Audio-to-Animation (A2A) subnet offers a platform for democratising the creation of a neural network focusing on generating animations based on audio cues.
As the subnet owner, Virtuals Protocol is committed to creating the best open-source A2A model. The subnet aims to tap into the collective expertise of the Bittensor community, fostering iterative improvements to create the best open-source A2A models.
Core Contributors
The core contributors of A2A subnet include Matthew Stewart (PhD @ Harvard & Research Director @ MLCommons), Bryan Lim (PhD @ Imperial), Phil Wick as well as the team at Virtuals Protocol.
Useful Links
Website: https://tao.virtuals.io/
Github: https://github.com/Virtual-Protocol/tao-vpsubnet/
Twitter/X: https://twitter.com/virtuals_io
Discord: https://discord.com/channels/799672011265015819/1174839377659183174 channel א·alef·25
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