Research map / Image generation / Editing and style transfer
Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use the Avatar-Net hourglass with multi-scale style adaptation instead of WCT's recursive passes | Avatar-Net · 256×256 | execution time (sec): 0.62 -> 0.26 | Helped |
| use the Avatar-Net hourglass with multi-scale style adaptation instead of WCT's recursive passes | Avatar-Net · 512×512 | execution time (sec): 0.93 -> 0.47 | Helped |
| replace ZCA with AdaIN for projection and reconstruction (ablation) | Avatar-Net style decorator · zero-shot style transfer | style-pattern detail | Hurt |
| replace ZCA with AdaIN for projection and reconstruction (ablation) | Avatar-Net style decorator · zero-shot style transfer | execution time: 0.26 -> 0.071 (256×256); 0.47 -> 0.28 (512×512) | Helped |
| use ZCA on the Gram matrix instead of the covariance matrix (ablation) | Avatar-Net style decorator · zero-shot style transfer | visual stylization performance | No clear effect |
| increase style-patch size (ablation) | Avatar-Net style decorator · zero-shot style transfer | globality of style patterns | Helped |
| increase style-patch size (ablation) | Avatar-Net style decorator · zero-shot style transfer | content preservation | Hurt |
| sample fewer style patches using a larger stride (ablation) | Avatar-Net style decorator · zero-shot style transfer | style-pattern completeness | Hurt |
| sample style patches at small strides, with stride not larger than patch size minus one (ablation) | Avatar-Net style decorator · zero-shot style transfer | visual stylization performance | No clear effect |
| use the style-augmented hourglass instead of an auto-encoder (ablation) | Avatar-Net · multi-scale zero-shot style transfer | multi-scale style adaptation | Helped |
Closest papers by meaning
- Z*: Zero-shot Style Transfer via Attention Reweighting (CVPR 2024 · similarity 0.87)
- Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network (CVPR 2024 · similarity 0.87)
- Learning to Manipulate Artistic Images (AAAI 2024 · similarity 0.87)
- SigStyle: Signature Style Transfer via Personalized Text-to-Image Models (AAAI 2025 · similarity 0.87)
- OmniStyle: Filtering High Quality Style Transfer Data at Scale (CVPR 2025 · similarity 0.87)
- 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images (CVPR 2024 · similarity 0.86)
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