Research map / Image generation / Editing and style transfer
Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use example-guided adaptive patch partitioning instead of regular-grid patches (ablation) | Split and Match · Style transfer | style transfer quality and structure preservation | Helped |
| Use regular 8×8 patches (ablation) | Patch-based style transfer · Style transfer | style capture | Hurt |
| Use regular 32×32 patches (ablation) | Patch-based style transfer · Style transfer | structure preservation | Hurt |
| Use a variance-based quadtree partition instead of an example-guided partition (ablation) | Adaptive patch style transfer · Style transfer | structure preservation | Hurt |
| Add global color transfer to texture transfer (ablation) | Split and Match · Style transfer | color style capture | Helped |
| Use Split and Match instead of unsupervised PatchTable | Unsupervised style transfer · Van Gogh style transfer comparison | style transfer quality | Helped |
| Use Split and Match instead of Neural Artistic Style | Unsupervised style transfer · Van Gogh style transfer comparison | style transfer quality | Helped |
Closest papers by meaning
- SigStyle: Signature Style Transfer via Personalized Text-to-Image Models (AAAI 2025 · similarity 0.86)
- StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer (CVPR 2025 · similarity 0.86)
- Semantix: An Energy-guided Sampler for Semantic Style Transfer (ICLR 2025 · similarity 0.85)
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer (CVPR 2024 · similarity 0.85)
- CLeaR: A Unified Framework for Resolving the Leakage–Degradation Dilemma in Style Transfer (NeurIPS 2026 · similarity 0.84)
- Generating Non-Stationary Textures using Self-Rectification (CVPR 2024 · similarity 0.84)
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