Perfrdiff: Personalised weight editing for multiple appropriate facial reaction generation
H Zhu, X Kong, W ** modeling with discrete latent variable
In dyadic interaction, listener reaction generation can be treated as a one-to-many map**
problem since multiple listener reactions can correspond to a given speaker action. The …
problem since multiple listener reactions can correspond to a given speaker action. The …
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation
The objective of the Multiple Appropriate Facial Reaction Generation (MAFRG) task is to
produce contextually appropriate and diverse listener facial behavioural responses based …
produce contextually appropriate and diverse listener facial behavioural responses based …
Latent Behavior Diffusion for Sequential Reaction Generation in Dyadic Setting
The dyadic reaction generation task involves synthesizing responsive facial reactions that
align closely with the behaviors of a conversational partner, enhancing the naturalness and …
align closely with the behaviors of a conversational partner, enhancing the naturalness and …
Maia: A Real-time Non-Verbal Chat for Human-AI Interaction
D Costea, A Marcu, C Lazar, M Leordeanu - ar** algorithms that can recognize and analyze non-verbal cues and behaviors …
Generation of Listener's Facial Response Using Cross-Modal Map** of Speaker's Expression
A Fujii, K Fukuda - International Conference on Human-Computer …, 2024 - Springer
In human communication, we use non-verbal cues such as facial expressions to convey
intentions and emotional states. These non-verbal elements play important roles in …
intentions and emotional states. These non-verbal elements play important roles in …