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Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

CVPR 2020 · Architectures and efficiency › CNN design · approach: Dense matching and estimation CNNs · 312 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add adaptive kernel filtering to the network without attention (ablation)Proposed network · GoPro test setPSNR: 30.25 -> 30.81Helped
Add self-attention (SA) without adaptive filtering (ablation)Proposed network · GoPro test setPSNR: 30.25 -> 30.76Helped
Add cross-attention (CA) to the SA network (ablation)Proposed network · GoPro test setPSNR: 30.76 -> 30.93Helped
Add cross-level attention (CLA) to the SA network (ablation)Proposed network · GoPro test setPSNR: 30.76 -> 31.12Helped
Add adaptive kernel filtering to the SA+CA network (ablation)Proposed network · GoPro test setPSNR: 30.93 -> 31.44Helped
Add CLA to the SA+CA+adaptive-kernel network (ablation)Proposed network · GoPro test setPSNR: 31.44 -> 31.85Helped
Add learnable local-filter offsets (ablation)Proposed network · GoPro test setPSNR: 31.85 -> 32.02Helped
Replace the proposed efficient attention with the compared standard attention (ablation)Net3 · GoPro test setPSNR: 30.76 -> 30.52Hurt
Increase encoder-decoder residual blocks beyond 3 (ablation)Proposed network · GoPro test setPSNRNo clear effect
Add a fourth hierarchy level (ablation)Proposed network · Deblurring benchmarksPSNRNo clear effect

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