| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 35.36 | 0.9302 | DRCT-L | 2024-03-31 |
| HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 35.33 | 0.9297 | HMA† | 2024-05-08 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 35.29 | 0.9293 | HAT-L | 2022-05-09 |
| Hierarchical Information Flow for Generalized Efficient Image Restoration | | 35.27 | 0.9311 | Hi-IR-L | 2024-11-27 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 35.17 | | HAT_FIR | 2022-08-24 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 35.13 | 0.9282 | HAT | 2022-05-09 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 34.97 | 0.9280 | CPAT+ | 2024-07-23 |
| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 34.96 | 0.9287 | DRCT | 2024-03-31 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 34.93 | 0.9276 | SwinFIR | 2022-08-24 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 34.91 | 0.9277 | CPAT | 2024-07-23 |
| MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 34.75 | 0.9268 | MaIR | 2024-12-28 |
| Densely Residual Laplacian Super-Resolution | ✓ Link | 34.43 | 0.9247 | DRLN+ | 2019-06-28 |
| Cascade Convolutional Neural Network for Image Super-Resolution | | 34.34 | 0.9240 | CSRCNN | 2020-08-24 |
| Local Texture Estimator for Implicit Representation Function | ✓ Link | 34.25 | | LTE | 2021-11-17 |
| Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 34.24 | 0.9224 | HAN+ | 2020-08-20 |
| Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 34.12 | 0.9223 | CSNLN | 2020-06-02 |
| Deep Back-Projection Networks for Single Image Super-resolution | ✓ Link | 34.09 | 0.921 | DBPN-RES-MR64-3 | 2019-04-04 |
| Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 33.97 | 0.922 | SwinOIR | 2023-03-16 |
| Feedback Network for Image Super-Resolution | ✓ Link | 33.82 | | SRFBN | 2019-03-23 |
| Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 33.78 | 0.921 | HBPN | 2019-06-17 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 33.77 | 0.922 | ML-CrAIST | 2024-08-19 |
| Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 33.7 | | MWCNN | 2018-05-18 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 33.64 | 0.9213 | ML-CrAIST-Li | 2024-08-19 |
| Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 33.63 | | IMDN | 2019-09-26 |
| Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution | ✓ Link | 33.62 | 0.9178 | SPBP-L+ | 2020-08-03 |
| Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search | ✓ Link | 33.55 | | FALSR-A | 2019-01-22 |
| Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 33.52 | | CARN [[Ahn et al.2018]] | 2018-03-23 |
| Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 33.26 | | CARN-M [[Ahn et al.2018]] | 2018-03-23 |
| Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network | ✓ Link | 33.05 | .9126 | DCSCN | 2017-07-18 |
| Deeply-Recursive Convolutional Network for Image Super-Resolution | ✓ Link | 33.04 | | DRCN [[Kim et al.2016b]] | 2015-11-14 |
| Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 33.03 | | DnCNN-3 | 2016-08-13 |
| Accurate Image Super-Resolution Using Very Deep Convolutional Networks | ✓ Link | 33.03 | | VDSR [[Kim et al.2016a]] | 2015-11-14 |
| Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections | ✓ Link | 32.94 | 0.9144 | RED30 | 2016-06-29 |
| Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network | ✓ Link | 32.71 | .9090 | c-DCSCN | 2017-07-18 |
| Learning Deep CNN Denoiser Prior for Image Restoration | ✓ Link | 30.79 | | Deep CNN Denoiser | 2017-04-11 |