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Nanjing University of Science and Technology
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Emotion-controllable portrait animation can now be achieved in real-time with a single training instance, revolutionizing the efficiency and expressiveness of animated avatars.
Emotional avatars can now be synthesized in real-time with unprecedented expressiveness and control, thanks to a novel approach that combines audio features and Gaussian attributes.
