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Research map / Image generation / Editing and style transfer

The GAN That Warped: Semantic Attribute Editing With Unpaired Data

CVPR 2020 · Image generation › Editing and style transfer · approach: GAN inversion for editing · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add binary label transformation to StarGAN (ablation)StarGAN on CelebA · CelebAattribute classification accuracy: 0.68 -> 0.82Helped
Add binary label transformation to StarGAN (ablation)StarGAN on CelebA · CelebAidentity score: 0.65 -> 0.70Helped
Replace image synthesis with warp-field predictionStarGAN+ on CelebA · CelebAidentity score: 0.70 -> 0.81Helped
Replace image synthesis with warp-field predictionStarGAN+ on CelebA · CelebAattribute classification accuracy: 0.82 -> 0.75Hurt
Replace image synthesis with warp-field predictionStarGAN+ on CelebA · CelebAuser-rated realism accuracy: 0.46 -> 0.65Helped
Remove warp cycle loss (ablation)WarpGAN+ · CelebAediting qualityHurt
Remove smoothness loss (ablation)WarpGAN+ · CelebAgeneralizationHurt
Remove adversarial and gradient-penalty losses (ablation)WarpGAN+ · CelebArealismHurt
Replace warp cycle loss with pixel cycle loss (ablation)WarpGAN+ · CelebAediting qualityHurt
Remove classification loss (ablation)WarpGAN+ · CelebAattribute editingHurt
Scale predicted displacement vectors by alpha (ablation)WarpGAN+ · CelebAattribute accuracy and identity scoreMixed

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