Research map / Label-efficient and robust learning / Recognition and long-tail
Artistic Style Discovery With Independent Components
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Reconstruct the style using ArtIns components instead of using the original output | AdaIN · Style reconstruction | MSE loss: 0.29 -> 1.17 | Hurt |
| Reconstruct the style using ArtIns components instead of using the original output | Linear · Style reconstruction | MSE loss: 0.09 -> 0.34 | Hurt |
| Reconstruct the style using ArtIns components instead of using the original output | SANet · Style reconstruction | MSE loss: 0.04 -> 0.19 | Hurt |
| Reconstruct the style using ArtIns components instead of using the original output | MST · Style reconstruction | MSE loss: 0.25 -> 0.69 | Hurt |
Closest papers by meaning
- Artistic Style Transfer with Internal-external Learning and Contrastive Learning (NeurIPS 2021 · similarity 0.90)
- HSI: A Holistic Style Injector for Arbitrary Style Transfer (CVPR 2025 · similarity 0.89)
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI 2024 · similarity 0.88)
- OmniStyle: Filtering High Quality Style Transfer Data at Scale (CVPR 2025 · similarity 0.88)
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer (CVPR 2024 · similarity 0.87)
- SigStyle: Signature Style Transfer via Personalized Text-to-Image Models (AAAI 2025 · similarity 0.87)
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