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This is a Quantitative Study study (also classified as: Experimental Study).

September 20, 2025Open Access

GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer

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GLDiTalker significantly improves lip-sync accuracy and motion diversity in 3D facial animations.
Achieving superior performance on benchmarks, it outperforms existing methods in alignment and realism.
The two-stage training pipeline enhances both accuracy and diversity through novel model architectures.
Evaluation results indicate GLDiTalker effectively resolves modality misalignment in speech-driven animation.

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GLDiTalker improves lip-sync accuracy and motion diversity in speech-driven 3D animations, addressing modality inconsistencies.

Lin et al. (2025) studied this question.

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