| IFCSR: Inference-Free Fidelity-Realism Control for One-Step Diffusion-based Real-World Image Super-Resolution | | 28.0 | 47.64 | 0.2921 | 0.4025 | 0.7975 | IFCSR | 2026-06-03 |
| GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution | | 27.08 | 62.20 | 0.2407 | 0.5716 | 0.7681 | GuideSR | 2025-05-01 |
| AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution | | 26.11 | 68.53 | 0.2871 | 0.4553 | 0.7125 | AlignVAR | 2026-02-28 |
| FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution | ✓ Link | 26.02 | 69.8245 | 0.2626 | 0.6681 | 0.7457 | FiDeSR-1s | 2026-03-03 |
| Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization | ✓ Link | 25.9301 | 65.5979 | 0.2806 | | 0.7105 | PASD | 2023-08-28 |
| Adversarial Score Distillation for Stable One-Step Diffusion in Real-World Image Super-Resolution | | 25.69 | 68.94 | 0.2805 | 0.6507 | 0.7382 | ASDSR | 2026-09-08 |
| Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach | ✓ Link | 25.50 | 70.15 | 0.2672 | 0.6560 | 0.7417 | PiSA-SR-S1 | 2024-12-04 |
| Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution | | 25.39 | | | | | RRDB + Explicit Adaptive Dropout | 2025-06-15 |
| VOSR: A Vision-Only Generative Model for Image Super-Resolution | ✓ Link | 25.2284 | 70.5813 | 0.2732 | 0.6443 | 0.7175 | VOSR-1.4B-os | 2026-04-03 |
| AdaBridge-SR: Adaptive Bridge Matching for Real-World Image Super-Resolution | ✓ Link | 25.2152 | | 0.2818 | | 0.7326 | AdaBridge-SR-S1 | 2026-09-08 |
| SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution | ✓ Link | 25.18 | 69.77 | 0.3009 | 0.6442 | 0.7216 | SeeSR | 2023-11-27 |
| One-Step Effective Diffusion Network for Real-World Image Super-Resolution | | 25.15 | 69.09 | 0.2921 | 0.6326 | 0.7341 | OSEDiff-s1 | 2024-10-24 |
| One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution | ✓ Link | 25.07 | 68.29 | 0.2398 | 0.6622 | 0.7361 | ODTSR | 2025-11-21 |
| DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution | | 24.97 | 72.04 | 0.3239 | 0.693 | | DNF-SR | 2026-06-03 |
| TEASR: Training-Efficient Any-Step Diffusion Transformer for Real-World Image Super-Resolution | | 24.83 | 68.5 | 0.2542 | 0.6265 | 0.7198 | TEASR (extra data) | 2026-06-15 |
| TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution | ✓ Link | 24.81 | 71.19 | 0.2743 | 0.6347 | 0.7172 | TSD-SR | 2024-11-27 |
| TinySR: Pruning Diffusion for Real-World Image Super-Resolution | | 24.79 | 69.78 | 0.2806 | 0.6235 | 0.7171 | TinySR | 2025-08-24 |
| DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior | ✓ Link | 24.7531 | 69.5167 | 0.2565 | 0.3504 | 0.6615 | DiffBIR | 2023-08-29 |
| Exploiting Diffusion Prior for Real-World Image Super-Resolution | ✓ Link | 24.65 | 65.88 | 0.3002 | | 0.7080 | StableSR | 2023-05-11 |
| Visual Autoregressive Modeling for Image Super-Resolution | ✓ Link | 24.61 | 71.26 | 0.3504 | 0.5570 | 0.7169 | VARSR | 2025-01-31 |
| Arbitrary-steps Image Super-resolution via Diffusion Inversion | ✓ Link | 24.50 | 67.4586 | 0.2872 | | 0.7262 | InvSR | 2024-12-12 |
| XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution | ✓ Link | 24.19 | 70.23 | 0.3517 | 0.6059 | 0.6870 | XPSR | 2024-03-08 |
| Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution | ✓ Link | 24.09 | 71.78 | 0.2497 | 0.5730 | 0.7221 | ASASR | 2026-05-22 |
| VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution | | 22.78 | 71.37 | 0.3249 | 0.5655 | 0.6453 | VARestorer-1 | 2026-04-23 |
| AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation | ✓ Link | 22.73 | 72.25 | | 0.6597 | 0.6336 | AddSR | 2024-04-02 |
| Learning to Corrupt for Better Restoration | | 22.509 | 69.853 | | 0.589 | 0.672 | IAC-IR | 2026-09-08 |
| Disentangled Textual Priors for Diffusion-based Image Super-Resolution | ✓ Link | 22.46 | 71.84 | 0.3796 | 0.6021 | 0.6214 | DTPSR | 2026-03-08 |
| FlowIE: Efficient Image Enhancement via Rectified Flow | ✓ Link | | | | 0.5953 | | FlowIE | 2024-06-01 |
| Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning | | | 65.2 | 0.278 | | | Edge-SD-SR | 2024-12-09 |
| DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution | ✓ Link | | 68.073 | 0.319 | 0.661 | | DiT4SR | 2025-03-30 |
| Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution | | | 67.72 | 0.3386 | 0.4566 | | Q-DiT4SR | 2026-02-01 |
| Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models | | | 72.34 | | 0.6205 | | ResFlow-Tuner | 2026-03-23 |
| TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution | | | 70.2406 | 0.3217 | 0.6786 | | TUDSR-S | 2026-06-03 |
| OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution | ✓ Link | | | 0.22 | | | OracleZoom | 2026-09-06 |
| AdaBridge-SR: Adaptive Bridge Matching for Real-World Image Super-Resolution | ✓ Link | | 69.2031 | | 0.6847 | | AdaBridge-SR-S2 | 2026-09-08 |