Research map / Image generation / Editing and style transfer
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add the auxiliary decoder during training (ablation) | TPFR · Image style transfer | visual quality | Helped |
| separate the latent code into content and style parts (ablation) | TPFR · Image style transfer | visual quality | Helped |
| use two-stage recombination to adapt content geometry after style recombination (ablation) | TPFR · Image style transfer | visual quality | Helped |
| add metric learning on the style latent space (ablation) | TPFR · Image style transfer | visual quality | Helped |
| split style representation into local and global components (ablation) | TPFR · Image style transfer | visual quality | Helped |
Closest papers by meaning
- Real-Time Neural Style Transfer for Videos (CVPR 2017 · similarity 0.89)
- Learning Linear Transformations for Fast Image and Video Style Transfer (CVPR 2019 · similarity 0.88)
- Artistic Style Transfer with Internal-external Learning and Contrastive Learning (NeurIPS 2021 · similarity 0.88)
- Universal Style Transfer via Feature Transforms (NeurIPS 2017 · similarity 0.88)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.87)
- Z*: Zero-shot Style Transfer via Attention Reweighting (CVPR 2024 · similarity 0.86)
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