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MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

CVPR 2020 · Image generation › Editing and style transfer · approach: Identity-preserving face manipulation · 1,085 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Editing Behavior Simulated Training (ablation)MaskGAN · Smiling attribute transferAttribute classification accuracy (%): 72.3 -> 77.3Helped
Add Editing Behavior Simulated Training (ablation)MaskGAN · Smiling attribute transferFID score: 46.67 -> 46.84Hurt
Add Editing Behavior Simulated Training (ablation)MaskGAN · Smiling attribute transferSegmentation accuracy (%): 93.23 -> 93.86Helped
Add Editing Behavior Simulated Training (ablation)MaskGAN · Style copyHuman evaluation (%): 28 -> 44Helped
Add Editing Behavior Simulated Training (ablation)MaskGAN · Style copySegmentation accuracy (%): 92.34 -> 92.31No clear effect
Use SFT layers rather than concatenating style and spatial features (ablation)MaskGAN · Style copy (train/test split differs from main paper)Heavy Makeup classification accuracy (%): 61.3 -> 67.1Helped
Use SFT layers rather than concatenating style and spatial features (ablation)MaskGAN · Style copy (train/test split differs from main paper)FID: 27.13 -> 26.22Helped
Remove the target-mask spatial-information branch from the Spatial-Aware Style Encoder (ablation)MaskGAN · Style copyHeavy Makeup classification accuracy (%): 72.1 -> 55.1Hurt
Add face identification loss (ablation)MaskGAN · Identity preservingFace verification accuracy (%)No clear effect

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