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Character Animation Motion VAEs is a deep learning-based tool designed to animate characters with AI-controlled motions. It uses a Variational Autoencoder (VAE) architecture to generate, manipulate, and interpolate character animations. This technology allows for the creation of realistic and customized character movements by learning from existing motion data.
What kind of input data does it require?
The model typically requires motion capture data, such as joint rotations or positional information, to generate animations.
Can I use it for real-time applications?
Yes, the model is designed to work in real-time, making it suitable for games and interactive applications.
How do I customize the animation style?
You can use the style transfer feature to apply the motion style of one character to another by fine-tuning the model on your specific dataset.