A method called STCCL uses learned spatial and temporal correlation metrics between facial regions to supervise expression changes while preserving speech animations without paired training data.
For dynamic comparisons, we invite reviewers to view the video demonstrations on our project page: https:// jianmanlincjx.github.io/STCCL/
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Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation
A method called STCCL uses learned spatial and temporal correlation metrics between facial regions to supervise expression changes while preserving speech animations without paired training data.