| CFAT: Unleashing Triangular Windows for Image Super-resolution | ✓ Link | 29.7 | 0.818 | CFAT | 2024-01-01 |
| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 29.68 | 0.8211 | DRCT-L | 2024-03-31 |
| Hierarchical Information Flow for Generalized Efficient Image Restoration | | 29.67 | 0.8256 | Hi-IR-L | 2024-11-27 |
| HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 29.66 | 0.8196 | HMA† | 2024-05-08 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 29.63 | 0.8191 | HAT-L | 2022-05-09 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 29.6 | | HAT_FIR | 2022-08-24 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 29.59 | 0.8177 | HAT | 2022-05-09 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 29.59 | 0.8177 | CPAT+ | 2024-07-23 |
| WARP: Wide Attention with Rich Projections for Image Super-Resolution | | 29.59 | | WARP | 2026-09-08 |
| Dual Aggregation Transformer for Image Super-Resolution | ✓ Link | 29.58 | 0.8173 | DAT+ | 2023-08-07 |
| Image Processing GNN: Breaking Rigidity in Super-Resolution | ✓ Link | 29.57 | 0.8171 | IPG+ | 2024-01-01 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 29.56 | 0.8174 | CPAT | 2024-07-23 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 29.55 | 0.8169 | SwinFIR | 2022-08-24 |
| On Efficient Transformer-Based Image Pre-training for Low-Level Vision | ✓ Link | 29.53 | 0.8165 | EDT-B† | 2021-12-19 |
| Accurate Image Restoration with Attention Retractable Transformer | | 29.51 | 0.8159 | ART | 2022-10-04 |
| SwinIR: Image Restoration Using Swin Transformer | ✓ Link | 29.46 | 0.8145 | SwinIR | 2021-08-23 |
| Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 29.41 | 0.8116 | HAN+ | 2020-08-20 |
| TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond | | 29.41 | | TSP-Mamba | 2025-06-11 |
| Densely Residual Laplacian Super-Resolution | ✓ Link | 29.4 | 0.8125 | DRLN+ | 2019-06-28 |
| Local Texture Estimator for Implicit Representation Function | ✓ Link | 29.39 | | LTE | 2021-11-17 |
| Pre-Trained Image Processing Transformer | ✓ Link | 29.38 | | IPT | 2020-12-01 |
| Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 29.33 | 0.8105 | CSNLN | 2020-06-02 |
| Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 29.27 | 0.8111 | SwinOIR | 2023-03-16 |
| Feedback Network for Image Super-Resolution | ✓ Link | 29.24 | | SRFBN | 2019-03-23 |
| Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 29.12 | | MWCNN | 2018-05-18 |
| Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 29.09 | | IMDN | 2019-09-26 |
| Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections | ✓ Link | 28.93 | 0.7994 | RED30 | 2016-06-29 |
| Lightweight Feature Fusion Network for Single Image Super-Resolution | ✓ Link | 28.91 | | LFFN-S | 2019-02-15 |
| LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution | ✓ Link | 28.87 | | LCSCNet | 2019-09-09 |
| Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 28.85 | | DnCNN-3 | 2016-08-13 |
| Image Restoration Using Deep Regulated Convolutional Networks | ✓ Link | 28.76 | | RC-Net | 2019-10-19 |