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Reflection Separation using a Pair of Unpolarized and Polarized Images

NeurIPS 2019 · Image generation › Image restoration · approach: Reflection removal · 37 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add refinement network after polarization-guided separation (ablation)Ours · Synthetic validation (5000 pairs)Transmission PSNR: 21.61 -> 28.23Helped
add refinement network after polarization-guided separation (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 13.90 -> 20.92Helped
add semireflector orientation estimation (alpha, beta) instead of direct xi/zeta estimation (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 18.84 -> 20.92Helped
add semireflector orientation estimation (alpha, beta) instead of direct xi/zeta estimation (ablation)Ours · Synthetic validation (5000 pairs)Transmission PSNR: 27.47 -> 28.23Helped
add gradient loss (ablation)Ours · Synthetic validation (5000 pairs)Transmission PSNR: 27.82 -> 28.23Helped
add gradient loss (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 21.94 -> 20.92Hurt
feed xi and zeta into refinement network (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 20.02 -> 20.92Helped
use our polarization-guided separation instead of ReflectNet output as refinement input (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 18.30 -> 20.92Helped
increase input Gaussian noise to 16% (ablation)Ours · Synthetic validation (5000 pairs)Transmission PSNR: 28.23 -> 27.17Hurt
use pair of unpolarized+polarized images vs ReflectNet with three polarized imagesOurs · Synthetic validation (5000 pairs)Reflection PSNR: 18.50 -> 20.92Helped
test on curved parabola semireflector instead of planar (ablation)Ours · Synthetic validation (5000 pairs)Reflection PSNR: 20.92 -> 13.69Hurt

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