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Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion

CVPR 2020 · Image generation › Image restoration · approach: Real-world restoration with unaligned data · 127 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ASFFNet with multi-exemplar guidance, MLS alignment, AdaIN, and adaptive progressive fusionBlind face restoration · VGGFace2 ×4 SRPSNR: 28.07 vs 27.66Helped
Use ASFFNet with multi-exemplar guidance, MLS alignment, AdaIN, and adaptive progressive fusionBlind face restoration · VGGFace2 ×8 SRPSNR: 24.34 vs 23.87Helped
Increase guidance exemplar count from 1 to 10 (ablation)ASFFNet · VGGFace2 ×4 SRPSNR: 27.99 -> 28.07Helped
Increase guidance exemplar count from 1 to 10 (ablation)ASFFNet · VGGFace2 ×8 SRPSNR: 24.19 -> 24.34Helped
Use four adaptive spatial feature-fusion blocks instead of one (ablation)ASFFNet · VGGFace2 ×4 SRPSNR: 27.59 -> 28.07Helped
Use eight rather than four adaptive spatial feature-fusion blocks (ablation)ASFFNet · VGGFace2 ×4 SRPSNR: 28.07 -> 28.07No clear effect
Replace adaptive fusion with concatenation (ablation)ASFFNet · VGGFace2 ×4 SRPSNR: 28.07 -> 27.56Hurt
Add attention masks to the fusion blocks (ablation)ASFFNet · VGGFace2 ×4 SRPSNR: 27.83 -> 28.07Helped
Add AdaIN illumination translation (ablation)ASFFNet · VGGFace2 ×8 SRPSNR: 24.15 -> 24.34Helped
Add MLS spatial alignment (ablation)ASFFNet · VGGFace2 ×8 SRPSNR: 23.12 -> 24.34Helped
Train the guidance feature extractor rather than keeping it fixed (ablation)ASFFNet · VGGFace2 ×8 SRPSNR: 23.47 -> 24.34Helped

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