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Facial Attribute Capsules for Noise Face Super Resolution

AAAI 2020 · Image generation › Super-resolution · approach: CNN and transformer SR architectures · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use FACN instead of AEUNFace super-resolution · CelebA BicNPSRN: 24.24 -> 24.61Helped
use FACN instead of AEUNFace super-resolution · CelebA BBicNSSIM: 0.6514 -> 0.6714Helped
use FACN instead of Wavelet-SRNetFace super-resolution identity retention · BBicN face verificationPerformance: 0.8820 -> 0.8922Helped
add probabilistic capsules to semantic-capsule FACN (ablation)FACN · CelebA BicNvisual SR qualityHelped
add semantic capsules to probabilistic-capsule FACN (ablation)FACN · CelebA BicNvisual SR qualityHelped
replace classical capsules with facial attribute capsules (ablation)FACN · CelebA BicNvisual SR qualityHelped
increase capsule number from k=18 to k=32 (ablation)FACN · CelebA BicNPSNR: 24.25 -> 24.49Helped
increase capsule number from k=32 to k=64 (ablation)FACN · CelebA BicNPSNR: 24.49 -> 24.61Helped
increase capsule number from k=64 to k=128 (ablation)FACN · CelebA BicNPSNR: 24.61 -> 24.68Helped
increase capsule dimension from d=2 to d=4 (ablation)FACN · CelebA BicNPSNR: 24.45 -> 24.61Helped
increase capsule dimension from d=4 to d=8 (ablation)FACN · CelebA BicNPSNR: 24.61 -> 24.69Helped
increase capsule dimension from d=8 to d=16 (ablation)FACN · CelebA BicNPSNR: 24.69 -> 24.75Helped

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