Research map / Image generation / Editing and style transfer
Neural Style Transfer via Meta Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Generate the style-specific transformation network in one meta-network forward pass instead of training it with SGD | Neural style transfer · Style transfer, 256 × 256 | Encode time: 4 h -> 19 ms | Helped |
| Use the fast image transformation network (ablation) | Meta networks for neural style transfer · Style transfer, 256 × 256 | Model size: 7 MB -> 449 KB | Helped |
| Use the fast image transformation network (ablation) | Meta networks for neural style transfer · Style transfer, 256 × 256 | Transfer time: 15 ms -> 8 ms | Helped |
| Increase the hidden-state dimension (ablation) | Meta networks for neural style transfer · Style transfer, random hidden states | Style image quality | Helped |
Closest papers by meaning
- MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer (AAAI 2019 · similarity 0.91)
- A Flexible Convolutional Solver for Fast Style Transfers (CVPR 2019 · similarity 0.89)
- Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer (CVPR 2023 · similarity 0.89)
- Learning Linear Transformations for Fast Image and Video Style Transfer (CVPR 2019 · similarity 0.89)
- Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network (CVPR 2024 · similarity 0.88)
- Adjustable Real-time Style Transfer (ICLR 2020 · similarity 0.88)
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