A latent diffusion model with a context-aware autoencoder generates more diverse and synchronized listener facial reactions on REACT2024 than four comparison methods, at the cost of a slightly worse reaction-distance score.
Comparison of spatio-temporal models for human motion and pose forecasting in face-to-face interaction scenarios supplementary material
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Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting
A latent diffusion model with a context-aware autoencoder generates more diverse and synchronized listener facial reactions on REACT2024 than four comparison methods, at the cost of a slightly worse reaction-distance score.