AI RESEARCH
SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
arXiv CS.CV
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ArXi:2603.14827v1 Announce Type: new Facial action estimation from a single image is often formulated as predicting or fitting parameters in compact expression spaces, which lack explicit semantic interpretability. However, many practical applications, such as avatar control and human-computer interaction, require interpretable facial actions that correspond to meaningful muscle movements.