Research map / Image generation / Editing and style transfer
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DSTM for arbitrary artist-style and artwork-style transfer from a single artwork | Style transfer on WikiArt · WikiArt | Deception rate: 0.589 -> 0.672 | Helped |
| Use EEM to preserve structural consistency | Photo-realistic style transfer · Average across four datasets | FID: 48.74 -> 42.83 | Helped |
| Add edge detection to the style-transfer model (ablation) | Photo-realistic style transfer · LSUN Church | FID: 52.34 -> 42.71 | Helped |
| Replace EEM edge detection with Canny (ablation) | Photo-realistic style transfer · LSUN Church and FFHQ | FID: 42.71 -> 46.75; 56.98 -> 58.12 | Hurt |
| Replace EEM edge detection with FSE (ablation) | Photo-realistic style transfer · LSUN Church and FFHQ | FID: 42.71 -> 48.93; 56.98 -> 58.96 | Hurt |
| Add average pooling to the soft edge loss (ablation) | EEM · LSUN Church and FFHQ | FID: 42.66 -> 42.71; 57.02 -> 56.98 | Mixed |
| Add reconstruction using only structural component zc (ablation) | EEM · LSUN Church and FFHQ | FID: 45.89 -> 42.71; 57.85 -> 56.98 | Helped |
Closest papers by meaning
- DualAST: Dual Style-Learning Networks for Artistic Style Transfer (CVPR 2021 · similarity 0.90)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.89)
- Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer (CVPR 2017 · similarity 0.89)
- Inversion-Based Style Transfer With Diffusion Models (CVPR 2023 · similarity 0.88)
- A Learned Representation For Artistic Style (ICLR 2017 · similarity 0.88)
- Z*: Zero-shot Style Transfer via Attention Reweighting (CVPR 2024 · similarity 0.87)
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