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Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

AAAI 2019 · Video › Video generation · approach: Diffusion-based human image animation · 34 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the proposed controllable generator instead of ConvLSTMFacial expression video generation · Web test faces, mean across Happy, Surprise, and AngryAMT preference: 83.0%Helped
Use the proposed controllable generator instead of HPFacial expression video generation · Web test faces, mean across Happy, Surprise, and AngryAMT preference: 71.4%Helped
Use the proposed method rather than either baselineFacial expression video generation · Web test faces, mean across expressionsAMT preference: 65.1%Helped
Add a local discriminator for the mouth region (ablation)Proposed facial expression generator · Facial expression videosVisual qualityHelped
Add landmark prediction (ablation)Proposed facial expression generator · Facial expression videosVisual clarityHelped
Add temporal continuity regularization (ablation)Proposed facial expression generator · Facial expression videosTemporal continuityHelped
Train one joint model for multiple expressions instead of separate modelsFacial expression generator · Happy and Angry expression generationVisual realismHelped

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