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Self-Aligned Video Deraining With Transmission-Depth Consistency

CVPR 2021 · Video › Video segmentation and tracking · approach: Learned optical flow estimation · 36 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the full self-aligned deraining method with transmission-depth consistencyVideo deraining · Synthetic rainy dataPSNR: 16.57 -> 17.52Helped
use the full self-aligned deraining method with transmission-depth consistencyVideo deraining · Synthetic rainy dataSSIM: 0.7033 -> 0.7284Helped
add temporal consistency (ablation)Video deraining method · Synthetic rainy dataPSNR: 14.56 -> 17.52Helped
add temporal consistency (ablation)Video deraining method · Synthetic rainy dataSSIM: 0.5387 -> 0.7284Helped
add DepthNet (ablation)Rain accumulation removal module · Synthetic rainy dataPSNR: 16.15 -> 17.52Helped
add DepthNet (ablation)Rain accumulation removal module · Synthetic rainy dataSSIM: 0.6408 -> 0.7284Helped
train DepthNet rather than freezing it (ablation)Rain accumulation removal module · Synthetic rainy dataPSNR: 16.43 -> 17.52Helped
train DepthNet rather than freezing it (ablation)Rain accumulation removal module · Synthetic rainy dataSSIM: 0.6874 -> 0.7284Helped
add PoseNet-based camera-pose estimation (ablation)Rain accumulation removal module · Synthetic rainy dataPSNR: 17.28 -> 17.52Helped
add PoseNet-based camera-pose estimation (ablation)Rain accumulation removal module · Synthetic rainy dataSSIM: 0.7071 -> 0.7284Helped

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