Selecting a short informative reference segment using audio diversity, lip amplitude, and viewpoint criteria achieves comparable personalized 3D talking face quality while reducing processing and training time by over 5x.
Nerf -ad: Neural radiance field with attention -based disentanglement for talking face synthesis
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ISExplore:Informative Segment Selection for Efficient Personalized 3D Talking Face Generation
Selecting a short informative reference segment using audio diversity, lip amplitude, and viewpoint criteria achieves comparable personalized 3D talking face quality while reducing processing and training time by over 5x.