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Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation

CVPR 2020 · Image generation › Super-resolution · approach: CNN and transformer SR architectures · 198 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use iterative collaboration between SR recovery and landmark estimationDIC · CelebAPSNR: 26.48 -> 27.37Helped
Use iterative collaboration between SR recovery and landmark estimationDIC · HelenSSIM: 0.7759 -> 0.7933Helped
Train with adversarial and perceptual lossesDIC · CelebAPSNR: 27.37 -> 26.34Hurt
Train with adversarial and perceptual lossesDIC · HelenNRMSE: 0.3674 -> 0.3336Helped
Add landmark guidance and the alignment branch (ablation)DIC without landmarks · CelebAPSNR: 26.31 -> 27.37Helped
Add landmark guidance and the alignment branch (ablation)DIC without landmarks · CelebASSIM: 0.7526 -> 0.7962Helped
Replace concatenated landmark maps with attentive fusion (ablation)DIC-CL · CelebAPSNR: 26.93 -> 27.37Helped
Replace concatenated landmark maps with attentive fusion (ablation)DIC-CL · CelebASSIM: 0.7811 -> 0.7962Helped
Increase recurrent collaboration from Step 1 to Step 4 (ablation)DIC · CelebAPSNR: 24.41 -> 26.34Helped
Increase recurrent collaboration from Step 1 to Step 4 (ablation)DIC · HelenNRMSE: 0.1057 -> 0.0520Helped

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