| HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 35.24 | 0.9513 | HMA† | 2024-05-08 |
| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 35.17 | 0.9516 | DRCT-L | 2024-03-31 |
| Hierarchical Information Flow for Generalized Efficient Image Restoration | | 35.16 | 0.9505 | Hi-IR-L | 2024-11-27 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 35.09 | 0.9505 | HAT-L | 2022-05-09 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 34.94 | | HAT_FIR | 2022-08-24 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 34.89 | 0.9487 | CPAT+ | 2024-07-23 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 34.81 | 0.9489 | HAT | 2022-05-09 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 34.76 | 0.9481 | CPAT | 2024-07-23 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 34.57 | 0.9473 | SwinFIR | 2022-08-24 |
| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 34.54 | 0.9474 | DRCT | 2024-03-31 |
| Densely Residual Laplacian Super-Resolution | ✓ Link | 33.54 | 0.9402 | DRLN+ | 2019-06-28 |
| Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 33.53 | 0.9398 | HAN+ | 2020-08-20 |
| Local Texture Estimator for Implicit Representation Function | ✓ Link | 33.5 | | LTE | 2021-11-17 |
| Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 33.25 | 0.9386 | CSNLN | 2020-06-02 |
| Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 33.12 | 0.938 | HBPN | 2019-06-17 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 33.04 | 0.937 | ML-CrAIST | 2024-08-19 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 32.93 | 0.9361 | ML-CrAIST-Li | 2024-08-19 |
| Deep Back-Projection Networks for Single Image Super-resolution | ✓ Link | 32.92 | 0.935 | DBPN-RES-MR64-3 | 2019-04-04 |
| Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution | | 32.878 | | FACD | 2022-11-29 |
| Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 32.83 | 0.9353 | SwinOIR | 2023-03-16 |
| Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution | | 32.78 | 0.9342 | PMRN+ | 2020-07-19 |
| Feedback Network for Image Super-Resolution | ✓ Link | 32.62 | | SRFBN | 2019-03-23 |
| Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 32.3 | | MWCNN | 2018-05-18 |
| Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 32.17 | | IMDN | 2019-09-26 |
| Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution | ✓ Link | 32.07 | 0.9277 | SPBP-L+ | 2020-08-03 |
| Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search | ✓ Link | 31.93 | | FALSR-A | 2019-01-22 |
| Accurate Image Super-Resolution Using Very Deep Convolutional Networks | ✓ Link | 30.76 | | VDSR [[Kim et al.2016a]] | 2015-11-14 |
| Deeply-Recursive Convolutional Network for Image Super-Resolution | ✓ Link | 30.75 | | DRCN [[Kim et al.2016b]] | 2015-11-14 |
| Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 30.74 | | DnCNN-3 | 2016-08-13 |