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Separate in Latent Space: Unsupervised Single Image Layer Separation

AAAI 2020 · Image generation › Editing and style transfer · approach: Image-to-image translation · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use unsupervised layer separation instead of existing unsupervised methodsSynthetic layer separation · Synthetic datasetMSE: 0.67/0.61 and 0.46/0.37 -> 0.289/0.274Helped
Use unsupervised layer separation instead of LK18Single image layer separation · MIT intrinsic datasetAverage MSE: 0.0197 -> 0.0154Helped
Use unsupervised layer separation instead of FY18Single image layer separation · MIT intrinsic datasetTotal LMSE: 0.020 -> 0.025Hurt
Use unsupervised layer separation instead of UNITReflection removal · Reflection removal dataset, backgroundSSIM: 0.738 -> 0.821Helped
Use unsupervised layer separation instead of LM14Reflection removal · Reflection removal dataset, reflectionPSNR: 17.58 -> 19.31Helped
Add self-supervision (SS) (ablation)Unsupervised SILS · Synthetic layer separationMSEHelped
Add cycle consistency (CC) (ablation)Unsupervised SILS · Synthetic layer separationMSEHelped
Balance intra-domain and inter-domain distance losses at (λ1+λ2)/λ3=1 instead of 0.1 (ablation)Self-supervision · Synthetic layer separationMSEHelped
Set SS and cycle-consistency weights to w1=1 and w2=10 (ablation)Unsupervised SILS · Synthetic layer separationMSEHelped

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