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Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence

CVPR 2020 · Video › Video segmentation and tracking · approach: Video restoration with temporal priors · 83 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use self-learned temporal correlation and consistency instead of SpacCNNvideo rain streak removal on NTURain test · NTURain testPSNR: 33.11 -> 34.89Helped
use self-learned temporal correlation and consistency instead of SpacCNNvideo rain streak removal on NTURain test · NTURain testSSIM: 0.9475 -> 0.9540Helped
add EHNet detail enhancement to PredNet (ablation)SLDNet on NTURain · NTURainPSNR: 33.61 -> 34.89Helped
add EHNet detail enhancement to PredNet (ablation)SLDNet on NTURain · NTURainSSIM: 0.9436 -> 0.9537Helped
add PredNet temporal prediction to EHNet (ablation)SLDNet on NTURain · NTURainPSNR: 33.62 -> 34.89Helped
add PredNet temporal prediction to EHNet (ablation)SLDNet on NTURain · NTURainSSIM: 0.9465 -> 0.9537Helped
add optical flow finetuning (ablation)SLDNet on NTURain b1-b4 · NTURain b1-b4PSNR: 34.35 -> 35.48Helped
add optical flow finetuning (ablation)SLDNet on NTURain b1-b4 · NTURain b1-b4SSIM: 0.9546 -> 0.9577Helped
add rain region guidance (ablation)SLDNet with optical flow finetuning on NTURain b1-b4 · NTURain b1-b4PSNR: 35.48 -> 35.78Helped
add rain region guidance (ablation)SLDNet with optical flow finetuning on NTURain b1-b4 · NTURain b1-b4SSIM: 0.9577 -> 0.9588Helped

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