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Attention-Aware Multi-Stroke Style Transfer

CVPR 2019 · Image generation › Editing and style transfer · approach: Arbitrary neural style transfer · 186 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add self-attention and use its map to guide fusion instead of average fusion (ablation)AAMS · 400 content/stylized image pairsAUC_Judd: 0.479 -> 0.484Helped
Add self-attention and use its map to guide fusion instead of average fusion (ablation)AAMS · 400 content/stylized image pairsSIM: 0.677 -> 0.744Helped
Add self-attention and use its map to guide fusion instead of average fusion (ablation)AAMS · 400 content/stylized image pairsNSS: 3.627 -> 4.172Helped
Add self-attention and use its map to guide fusion instead of average fusion (ablation)AAMS · 400 content/stylized image pairsCC: 0.732 -> 0.834Helped
Add self-attention and use its map to guide fusion instead of average fusion (ablation)AAMS · 400 content/stylized image pairsKL: 0.458 -> 0.396Helped
Add self-attention to emphasize salient regions and guide stroke fusion (ablation)AAMS · Style transfer, qualitative evaluationvisual attention consistencyHelped
Add multi-scale style swap to generate multiple stroke patterns (ablation)AAMS · Style transfer, qualitative evaluationstroke diversityHelped
Add skip connections with multi-level style enhancement (ablation)AAMS · Style transfer, qualitative evaluationstyle fidelityHelped

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