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Research map / Image generation / Editing and style transfer

Arbitrary Style Transfer With Style-Attentional Networks

CVPR 2019 · Image generation › Editing and style transfer · approach: Arbitrary neural style transfer · 476 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add identity loss alongside content-style loss (ablation)SANet · Arbitrary style transfercontent structure preservation while retaining style patternsHelped
Remove identity loss and increase content-loss weight (ablation)SANet · Arbitrary style transferstyle pattern richnessHurt
Use identity loss without content loss (ablation)SANet · Arbitrary style transfercontent structure preservationMixed
Use only Relu_4_1 features instead of multi-level embedding (ablation)SANet · Arbitrary style transferlocal style pattern representationHurt
Use only Relu_5_1 features instead of multi-level embedding (ablation)SANet · Arbitrary style transfercontent structure preservationHurt
Combine Relu_4_1 and Relu_5_1 SANets (ablation)SANet · Arbitrary style transferglobal and local style pattern representationHelped
Use AdaIN style loss instead of Gram matrix loss (ablation)SANet · Arbitrary style transferstyle transfer qualityHelped
Use the multi-level model rather than the Relu_4_1-only model (ablation)SANet · 256 pxexecution time (seconds): 0.012 -> 0.017Hurt
Use the multi-level model rather than the Relu_4_1-only model (ablation)SANet · 512 pxexecution time (seconds): 0.042 -> 0.055Hurt

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