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Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

CVPR 2019 · Video › Video generation · approach: Talking face generation · 440 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the audio-to-landmarks-to-video cascade with DMA, MMCRNN, DAL, and RDATVGnet · LRWPSNR: 29.91 -> 30.91Helped
use the audio-to-landmarks-to-video cascade with DMA, MMCRNN, DAL, and RDATVGnet · GRIDLMD: 1.44 -> 1.29Helped
add Dynamic Motion & Attention (DMA) (ablation)ATVGnet · LRWPSNR: 30.22 -> 33.45Helped
add Dynamic Motion & Attention (DMA) (ablation)ATVGnet · GRIDPSNR: 29.90 -> 33.84Helped
add MMCRNN temporal modeling (ablation)ATVGnet · LRWPSNR: 30.61 -> 33.45Helped
add MMCRNN temporal modeling (ablation)ATVGnet · GRIDPSNR: 32.68 -> 33.84Helped
add Dynamically Adjustable Loss (DAL) (ablation)ATVGnet · LRWPSNR: 31.35 -> 33.45Helped
add Dynamically Adjustable Loss (DAL) (ablation)ATVGnet · GRIDPSNR: 33.11 -> 33.84Helped
add Regression-based Discriminator (RD) (ablation)ATVGnet · LRWPSNR: 32.84 -> 33.45Helped
add Regression-based Discriminator (RD) (ablation)ATVGnet · GRIDPSNR: 33.25 -> 33.84Helped
condition on the last generated frame rather than the example frame (ablation)ATVGnet · LRWPSNR: 33.45 -> 30.45Hurt
condition on the last generated frame rather than the example frame (ablation)ATVGnet · GRIDPSNR: 33.84 -> 31.78Hurt

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