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Research map / Image generation / Autoregressive and latent generation

Attention-Guided Hierarchical Structure Aggregation for Image Matting

CVPR 2020 · Image generation › Autoregressive and latent generation · approach: Classical generative image synthesis · 182 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add channel-wise attention to distill pyramidal features (ablation)HAttMatting · Composition-1k testSAD: 126.31 -> 96.67Helped
Add SSIM loss (ablation)HAttMatting baseline · Composition-1k testSAD: 126.31 -> 102.79Helped
Add low-level appearance cues (ablation)HAttMatting baseline · Composition-1k testSAD: 126.31 -> 89.39Helped
Add low-level appearance cues and channel-wise attention (ablation)HAttMatting baseline · Composition-1k testSAD: 126.31 -> 72.73Helped
Add low-level appearance cues and spatial attention (ablation)HAttMatting baseline · Composition-1k testSAD: 126.31 -> 54.91Helped
Add low-level appearance cues, channel-wise attention, and spatial attention (ablation)HAttMatting baseline · Composition-1k testSAD: 126.31 -> 49.67Helped
Add SSIM loss (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 121.79Helped
Add low-level appearance cues (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 98.88Helped
Add channel-wise attention (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 104.23Helped
Add low-level appearance cues and channel-wise attention (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 85.57Helped
Add low-level appearance cues and spatial attention (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 78.14Helped
Add low-level appearance cues, channel-wise attention, and spatial attention (ablation)HAttMatting baseline · Distinctions-646 testSAD: 129.94 -> 57.31Helped

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