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Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos

CVPR 2018 · Video › Video segmentation and tracking · approach: Video restoration with temporal priors · 205 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynLight25 LightPSNR: 30.37 -> 32.96Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynLight25 HeavyPSNR: 20.20 -> 24.13Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynComplex25 LightPSNR: 30.37 -> 32.96Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynComplex25 HeavyPSNR: 20.20 -> 24.13Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynLight25 LightSSIM: 0.9235 -> 0.9434Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynLight25 HeavySSIM: 0.6335 -> 0.7163Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynComplex25 LightSSIM: 0.9235 -> 0.9434Helped
Use J4R-Net instead of the strongest listed baseline, JORDERVideo rain removal · RainSynComplex25 HeavySSIM: 0.6335 -> 0.7163Helped

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