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Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

CVPR 2022 · Image generation › Editing and style transfer · approach: Arbitrary neural style transfer · 138 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use DualStyleGAN instead of UI2I-style, GNR, or StarGANv2Exemplar-based portrait style transfer · Cartoon, Caricature, and Animeuser preference score: 0.11 -> 0.83 (Average)Helped
Add face-portrait supervision using destylized face-portrait pairs (ablation)DualStyleGAN · Portrait style transferstructural style transfer qualityHelped
Add weight regularization to the ModRes content loss (ablation)DualStyleGAN · Portrait style transferinput structure preservationHelped
Initialize with Stage I source-domain color transfer before progressive fine-tuning (ablation)DualStyleGAN · Transfer traininggenerative-space preservationHelped
Pre-train the extrinsic style path on real-face style mixing before target-domain training (ablation)DualStyleGAN · Complex target-domain style transferextrinsic style transfer qualityHelped
Use the full progressive fine-tuning schedule (ablation)DualStyleGAN · Portrait style transferextrinsic style transfer qualityHelped
Use ResBlocks rather than channel-wise AdaIN or spatial-wise DAT in the residual path (ablation)StyleGAN fine-tuning simulation · Cartoon face generationsimilarity to the fine-tuned StyleGANHelped
Activate different coarse-resolution extrinsic layers to control structure at different scales (ablation)DualStyleGAN · Portrait style transferstructural style controlMixed

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