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DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation

CVPR 2023 · Image generation › Autoregressive and latent generation · approach: Diffusion audio synthesis · 128 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add audio temporal filtering (ablation)DiffTalk · Test Set A and Test Set BSyncNet confidence: 5.484 -> 6.287; 5.197 -> 5.387Helped
Add audio temporal filtering (ablation)DiffTalk · Test Set A and Test Set BPSNR: 33.67 -> 34.17; 32.70 -> 32.73Mixed
Use the previous generated frame instead of a random reference image (ablation)DiffTalk inference · Test Set ALPIPS: 0.024 -> 0.023Helped
Use the previous generated frame instead of a random reference image (ablation)DiffTalk inference · Test Set BLPIPS: 0.031 -> 0.030Helped
Use the previous generated frame instead of a random reference image (ablation)DiffTalk inference · Test Set A and Test Set BSyncNet confidence: 6.287 -> 6.662; 5.387 -> 5.999Helped
Add landmarks to audio conditioning (ablation)DiffTalk · Novel-identity test examplesface alignmentHelped
Combine a random reference image with a masked ground-truth image (ablation)DiffTalk · Novel-identity test examplesidentity and mouth-appearance fidelityHelped
Use audio alone instead of reference and landmark conditions (ablation)DiffTalk · Novel-identity test examplesidentity generalizationHurt
Use a random reference image without a masked ground-truth image (ablation)DiffTalk · Novel-identity test examplestraining convergenceHurt

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