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K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring

CVPR 2023 · Image generation › Image restoration · approach: Image deblurring · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use disparity-aware kernel estimation with the full K3DN frameworkK3DN · DPD-blur testPSNR (dB): 26.66 -> 27.06Helped
Use disparity-aware kernel estimation with the full K3DN frameworkK3DN · DDD-syn testPSNR (dB): 36.53 -> 38.23Helped
Use disparity-aware kernel estimation with the full K3DN frameworkK3DN · RDPD testPSNR (dB): 32.27 -> 32.84Helped
Add reblur regularization (ablation)K3DN · DPD-blurPSNR (dB): 26.80 -> 26.84Helped
Add the SRP block to preserve in-focus features (ablation)K3DN · DPD-blurPSNR (dB): 26.76 -> 26.84Helped
Add the PSF block and reblur regularization (ablation)K3DN · DPD-blurPSNR (dB): 26.69 -> 26.84Helped
Add the SRP block and reblur regularization (ablation)K3DN · DPD-blurPSNR (dB): 26.68 -> 26.84Helped
Increase trainable kernel set size from 64 to 192 (ablation)K3DN · DPD-blurPSNR (dB): 26.71 -> 26.87Helped
Increase trainable kernel set size from 160 to 192 (ablation)K3DN · DPD-blurSSIM: 0.829 -> 0.830Helped

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