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Robust Reference-Based Super-Resolution via C2-Matching

CVPR 2021 · Image generation › Super-resolution · approach: Real-world super-resolution · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use C²-Matching-rec instead of TTSR-recReference-based super-resolution · CUFED5PSNR: 27.09 -> 28.24Helped
Use C²-Matching-rec instead of CIMR-recReference-based super-resolution · Sun80PSNR: 30.07 -> 30.18Helped
Use C²-Matching-rec instead of CIMR-recReference-based super-resolution · Urban100PSNR: 25.77 -> 26.03Helped
Use C²-Matching-rec instead of TTSR-recReference-based super-resolution · Manga109PSNR: 30.09 -> 30.47Helped
Use C²-Matching-rec instead of RCANSuper-resolution · WR-SRPSNR: 28.25 -> 28.32Helped
Add Dynamic Aggregation to the baseline (ablation)C²-Matching · CUFED5PSNR: +0.08dBHelped
Replace fixed VGG feature matching with the Contrastive Correspondence Network (ablation)C²-Matching with Dynamic Aggregation · CUFED5PSNR: about 0.2dBHelped
Add Teacher-Student Correlation Distillation (ablation)C²-Matching with Contrastive Correspondence Network · CUFED5PSNR: 0.09dBHelped
Add Teacher-Student Correlation Distillation (ablation)C²-Matching with Contrastive Correspondence Network · CUFED5 texture subsetPSNR: 0.16dBHelped
Use C²-Matching-light instead of TTSRReference-based super-resolution · CUFED5PSNR: 27.09 -> 28.14Helped

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