Research map / Image generation / Editing and style transfer
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add external learning (GAN over large style dataset) (ablation) | SANet-based style transfer · video style transfer | LPIPS: 0.325 -> 0.317 | Helped |
| add contrastive losses (ablation) | SANet-based style transfer · video style transfer | LPIPS: 0.321 -> 0.317 | Helped |
| add external learning (ablation) | SANet-based style transfer · image style transfer user study | preference: 0.281 -> 0.388 | Helped |
| add contrastive losses (ablation) | SANet-based style transfer · image style transfer user study | preference: 0.331 -> 0.388 | Helped |
| internal-external + contrastive learning vs SANet | SANet · user study | deception score: 0.394 -> 0.624 | Helped |
| internal-external + contrastive learning vs SANet | SANet · video style transfer | LPIPS: 0.372 -> 0.317 | Helped |
Closest papers by meaning
- Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer (CVPR 2017 · similarity 0.91)
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer (CVPR 2024 · similarity 0.91)
- Universal Style Transfer via Feature Transforms (NeurIPS 2017 · similarity 0.90)
- Artistic Style Discovery With Independent Components (CVPR 2022 · similarity 0.90)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.90)
- Z*: Zero-shot Style Transfer via Attention Reweighting (CVPR 2024 · similarity 0.88)
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