| Harnessing Diffusion-Yielded Score Priors for Image Restoration | | 0.2022 | 0.5982 | 73.07 | | 0.5966 | 0.7555 | | HYPIR (Flux) | 2025-07-28 |
| Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning | | 0.249 | 0.617 | 69.58 | 24.1 | | | | Edge-SD-SR | 2024-12-09 |
| GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution | | 0.2653 | 0.6333 | 63.97 | 24.76 | 0.5679 | 0.5840 | 0.1879 | GuideSR | 2025-05-01 |
| FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution | ✓ Link | 0.2678 | 0.6250 | 68.8672 | 24.33 | 0.6384 | | 0.1845 | FiDeSR-1s | 2026-03-03 |
| TEASR: Training-Efficient Any-Step Diffusion Transformer for Real-World Image Super-Resolution | | 0.274 | 0.6144 | 65.72 | 24.36 | 0.5737 | | 0.1865 | TEASR (extra data) | 2026-06-15 |
| One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution | ✓ Link | 0.2761 | 0.6108 | 67.94 | 23.92 | 0.6438 | | 0.1700 | ODTSR | 2025-11-21 |
| Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution | ✓ Link | 0.2784 | 0.6171 | 71.40 | 20.60 | 0.6519 | 0.7521 | 0.2038 | ASASR | 2026-05-22 |
| TinySR: Pruning Diffusion for Real-World Image Super-Resolution | | 0.2793 | 0.5725 | 69.90 | 22.76 | 0.6083 | 0.7201 | | TinySR | 2025-08-24 |
| AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation | ✓ Link | 0.2812 | 0.5651 | 71.43 | 21.83 | 0.6430 | 0.7794 | | AddSR | 2024-04-02 |
| Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach | ✓ Link | 0.2823 | 0.6058 | 69.68 | 23.87 | 0.6400 | 0.6927 | 0.1934 | PiSA-SR-S1 | 2024-12-04 |
| Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning | ✓ Link | 0.292 | 0.481 | 68.01 | 20.68 | | | | Iris-3B | 2026-10-07 |
| AdaBridge-SR: Adaptive Bridge Matching for Real-World Image Super-Resolution | ✓ Link | 0.2926 | 0.6145 | | 23.9717 | | | | AdaBridge-SR-S1 | 2026-09-08 |
| One-Step Effective Diffusion Network for Real-World Image Super-Resolution | | 0.2941 | 0.6108 | 67.97 | 23.72 | 0.6148 | 0.6683 | 0.1976 | OSEDiff-s1 | 2024-10-24 |
| Exploiting Diffusion Prior for Real-World Image Super-Resolution | ✓ Link | 0.3114 | 0.5726 | 65.92 | 23.26 | | 0.6771 | | StableSR | 2023-05-11 |
| VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution | | 0.3131 | 0.5355 | 72.32 | 21.08 | 0.5590 | 0.7669 | | VARestorer-1 | 2026-04-23 |
| Visual Autoregressive Modeling for Image Super-Resolution | ✓ Link | 0.3260 | 0.5980 | 71.27 | 23.91 | 0.5340 | 0.7347 | 0.2218 | VARSR | 2025-01-31 |
| One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation | ✓ Link | 0.3397 | 0.6177 | 68.72 | 22.30 | 0.4615 | | 0.1634 | FluxSR-s1 | 2025-02-04 |
| Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization | ✓ Link | 0.3640 | 0.5543 | 66.1278 | 21.6494 | | | 0.1778 | PASD | 2023-08-28 |
| XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution | ✓ Link | 0.3761 | 0.5627 | 69.99 | 22.80 | 0.6080 | | 0.2217 | XPSR | 2024-03-08 |
| Disentangled Textual Priors for Diffusion-based Image Super-Resolution | ✓ Link | 0.3806 | 0.5471 | 71.24 | 22.03 | 0.5866 | 0.7549 | | DTPSR | 2026-03-08 |
| SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution | ✓ Link | 0.3843 | 0.5386 | 68.33 | 21.19 | 0.6198 | 0.6946 | 0.2257 | SeeSR | 2023-11-27 |
| DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior | ✓ Link | 0.4263 | 0.4986 | 61.1476 | 21.9154 | 0.2466 | 0.6347 | | DiffBIR | 2023-08-29 |
| Harnessing Diffusion-Yielded Score Priors for Image Restoration | | | | | 22.16 | | | | HYPIR (SD2) | 2025-07-28 |
| AdaBridge-SR: Adaptive Bridge Matching for Real-World Image Super-Resolution | ✓ Link | | | 67.7713 | | 0.6556 | 0.6942 | | AdaBridge-SR-S2 | 2026-09-08 |