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Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation

NeurIPS 2021 · Image generation › Image restoration · approach: Reflection removal · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add YTMT feature interaction between two streams (ablation)dual-stream UNet · Real20PSNR: 20.57 -> 23.05Helped
add YTMT feature interaction between two streams (ablation)dual-stream UNet · PostcardPSNR: 20.82 -> 22.66Helped
add YTMT feature interaction between two streams (ablation)dual-stream UNet · WildPSNR: 24.20 -> 25.24Helped
pass negative-ReLU (deactivated) features across streams instead of using ReLU only (ablation)YTMT-UCS · Real20PSNR: 22.79 -> 23.05Helped
pass negative-ReLU features instead of ReLU only (ablation)YTMT-UCS · PostcardPSNR: 22.02 -> 22.66Helped
pass negative-ReLU features instead of ReLU only (ablation)YTMT-UCS · WildSSIM: 0.859 -> 0.887Mixed
add second stage (S -> T) with concat blocks (ablation)YTMT-UCS · Real20PSNR: 23.05 -> 23.09No clear effect
add second stage (S -> T) with concat blocks (ablation)YTMT-UCS · PostcardSSIM: 0.885 -> 0.884No clear effect
use feature addition instead of concatenation in single-stage YTMT (ablation)YTMT-UCS · WildPSNR: 25.24 -> 24.49Hurt
use feature addition instead of concatenation in single-stage YTMT (ablation)YTMT-UCS · ObjectsPSNR: 24.46 -> 24.71Helped
YTMT-UCT vs IBCLN on test setsIBCLN · PostcardPSNR: 23.39 -> 22.91Hurt
YTMT-UCS vs IBCLN under IBCLN training settingIBCLN · NaturePSNR: 23.57 -> 23.85Helped

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