Research map / Image generation / Image restoration
Needle-Match: Reliable Patch Matching Under High Uncertainty
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace BM3D's regular patch similarity with Needle-based similarity (ablation) | BM3D · Natural images [21], Gaussian noise σ=15, 35, 55, 75 | PSNR (dB): 31.04 -> 31.19; 27.34 -> 27.57; 24.96 -> 25.38; 24.13 -> 24.94 | Helped |
| Replace original-scale patch matching with Needle matching (ablation) | Patch matching for signal-fit evaluation · Noise, σ=35 | RMSE: 22.529 -> 13.89 | Helped |
| Replace original-scale patch matching with Needle matching (ablation) | Patch matching for signal-fit evaluation · Blur | RMSE: 27.484 -> 12.266 | Helped |
| Replace original-scale patch matching with Needle matching (ablation) | Patch matching for signal-fit evaluation · Geometric distortion | RMSE: 33.472 -> 24.219 | Helped |
| Use Needle matching instead of regular patch matching (ablation) | Patch matching without degradation · Clean images, σN=σB=σG=0 | SignalMatchError | Hurt |
| Use simultaneous multiscale matching instead of sequential coarse-to-fine matching (ablation) | Patch matching under severe degradation · Severe blur correspondence estimation | Displacement error | Helped |
| Use unrestricted global regular-patch search instead of local patch search (ablation) | BM3D · Natural images [21], Gaussian noise σ=15, 35, 55, 75 | PSNR (dB): 31.04 -> 26.91; 27.34 -> 26.17; 24.96 -> 24.83; 24.13 -> 23.67 | Hurt |
Closest papers by meaning
- Patched Denoising Diffusion Models For High-Resolution Image Synthesis (ICLR 2024 · similarity 0.86)
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- From Patches to Images: A Nonparametric Generative Model (ICML 2017 · similarity 0.85)
- Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation (CVPR 2026 · similarity 0.85)
- BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution (AAAI 2025 · similarity 0.83)
- Improving Progressive Generation with Decomposable Flow Matching (NeurIPS 2025 · similarity 0.83)
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