| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 39.14 | 0.9658 | DRCT-L | 2024-03-31 |
| HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 38.95 | 0.9649 | HMA† | 2024-05-08 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 38.91 | 0.9646 | HAT-L | 2022-05-09 |
| Hierarchical Information Flow for Generalized Efficient Image Restoration | | 38.87 | 0.9663 | Hi-IR-L | 2024-11-27 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 38.74 | | HAT_FIR | 2022-08-24 |
| Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 38.73 | 0.9637 | HAT | 2022-05-09 |
| DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 38.72 | 0.9646 | DRCT | 2024-03-31 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 38.72 | 0.9635 | CPAT+ | 2024-07-23 |
| Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 38.68 | 0.9633 | CPAT | 2024-07-23 |
| SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 38.65 | 0.9633 | SwinFIR | 2022-08-24 |
| On Efficient Transformer-Based Image Pre-training for Low-Level Vision | ✓ Link | 38.63 | 0.9632 | EDT-B | 2021-12-19 |
| MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 38.62 | 0.963 | MaIR+ | 2024-12-28 |
| MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 38.56 | 0.9628 | MaIR | 2024-12-28 |
| Densely Residual Laplacian Super-Resolution | ✓ Link | 38.34 | 0.9619 | DRLN+ | 2019-06-28 |
| Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 38.33 | 0.9299 | HAN+ | 2020-08-20 |
| Local Texture Estimator for Implicit Representation Function | ✓ Link | 38.33 | | LTE | 2021-11-17 |
| Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 38.28 | 0.9616 | CSNLN | 2020-06-02 |
| Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution | | 38.242 | | FACD | 2022-11-29 |
| Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution | | 38.22 | 0.9612 | PMRN+ | 2020-07-19 |
| Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 38.21 | 0.9614 | SwinOIR | 2023-03-16 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 38.19 | 0.9617 | ML-CrAIST | 2024-08-19 |
| ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 38.15 | 0.9615 | ML-CrAIST-Li | 2024-08-19 |
| Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 38.13 | 0.961 | HBPN | 2019-06-17 |
| Feedback Network for Image Super-Resolution | ✓ Link | 38.11 | | SRFBN | 2019-03-23 |
| Deep Back-Projection Networks for Single Image Super-resolution | ✓ Link | 38.08 | 0.96 | DBPN-RES-MR64-3 | 2019-04-04 |
| Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution | ✓ Link | 38.05 | 0.9606 | SPBP-L+ | 2020-08-03 |
| Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 38.00 | | IMDN | 2019-09-26 |
| Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 37.91 | | MWCNN | 2018-05-18 |
| Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search | ✓ Link | 37.82 | | FALSR-A | 2019-01-22 |
| Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 37.76 | | CARN [[Ahn et al.2018]] | 2018-03-23 |
| Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections | ✓ Link | 37.66 | 0.9599 | RED30 | 2016-06-29 |
| Lightweight Feature Fusion Network for Single Image Super-Resolution | ✓ Link | 37.66 | 0.9585 | LFFN-S | 2019-02-15 |
| Deeply-Recursive Convolutional Network for Image Super-Resolution | ✓ Link | 37.63 | | DRCN [[Kim et al.2016b]] | 2015-11-14 |
| Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 37.58 | | DnCNN-3 | 2016-08-13 |
| Neural Nearest Neighbors Networks | ✓ Link | 37.57 | | N3Net | 2018-10-30 |
| Accurate Image Super-Resolution Using Very Deep Convolutional Networks | ✓ Link | 37.53 | | VDSR [[Kim et al.2016a]] | 2015-11-14 |
| Cascade Convolutional Neural Network for Image Super-Resolution | | 37.45 | 0.9570 | CSRCNN | 2020-08-24 |
| Image Restoration Using Deep Regulated Convolutional Networks | ✓ Link | 37.42 | | RC-Net | 2019-10-19 |
| Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network | ✓ Link | 37.13 | .9569 | c-DCSCN | 2017-07-18 |
| Hypernetwork-Based Adaptive Image Restoration | ✓ Link | 36.69 | 0.94 | HyperRes | 2022-06-13 |
| Learning Deep CNN Denoiser Prior for Image Restoration | ✓ Link | 35.05 | | Deep CNN Denoiser | 2017-04-11 |