UA-3DTalk is a novel framework for Uncertainty-Aware 3D Emotional Talking Face Synthesis, specifically designed to generate highly realistic 3D talking faces that convey accurate and controllable emotions. It addresses two critical limitations in existing 3D methods: poor audio-vision emotion alignment, which manifests as difficulty in extracting audio emotions and inadequate control over emotional micro-expressions, and a rigid, one-size-fits-all multi-view fusion strategy that overlooks uncertainty and feature quality, thereby undermining rendering quality. The system operates through three core modules: a Prior Extraction module for disentangling audio features, an Emotion Distillation module for fine-grained emotion control using multi-modal attention and 4D Gaussian encoding, and an Uncertainty-based Deformation module that estimates view-specific aleatoric and epistemic uncertainty for adaptive multi-view fusion. This approach enables precise emotional expression and improved rendering quality.
UA-3DTalk is a new system for creating realistic 3D talking faces that show emotions accurately. It solves problems with matching audio to facial expressions and combining different camera views by using special modules to extract emotions and handle uncertainties in the rendering process.
Uncertainty-Aware 3D Emotional Talking Face Synthesis
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