Hierarchical Information Flow for Generalized Efficient Image Restoration | | 28.72 | 0.8514 | | | | | Hi-IR-L | 2024-11-27 |
DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 28.70 | 0.8508 | | | | | DRCT-L | 2024-03-31 |
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 28.69 | 0.8512 | | | | | HMA† | 2024-05-08 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 28.60 | 0.8498 | | | | | HAT-L | 2022-05-09 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 28.43 | | | | | | HAT_FIR | 2022-08-24 |
DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 28.40 | 0.8457 | | | | | DRCT | 2024-03-31 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 28.37 | 0.8447 | | | | | HAT | 2022-05-09 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 28.33 | 0.8425 | | | | | CPAT+ | 2024-07-23 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 28.22 | 0.8408 | | | | | CPAT | 2024-07-23 |
Progressive Focused Transformer for Single Image Super-Resolution | ✓ Link | 28.20 | 0.8412 | | | | | PFT | 2025-03-26 |
Image Processing GNN: Breaking Rigidity in Super-Resolution | ✓ Link | 28.13 | 0.8392 | | | | | IPG | 2024-01-01 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 28.12 | 0.8393 | | | | | SwinFIR | 2022-08-24 |
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 27.89 | 0.8336 | | | | | MaIR+ | 2024-12-28 |
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 27.71 | 0.8305 | | | | | MaIR | 2024-12-28 |
SwinIR: Image Restoration Using Swin Transformer | ✓ Link | 27.45 | 0.8254 | | | | | SwinIR | 2021-08-23 |
Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 27.3 | 0.818 | | | | | HBPN | 2019-06-17 |
Local Texture Estimator for Implicit Representation Function | ✓ Link | 27.24 | | | | | | LTE | 2021-11-17 |
Second-Order Attention Network for Single Image Super-Resolution | ✓ Link | 27.23 | 0.8169 | | | | | SAN | 2019-06-01 |
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 27.22 | 0.8168 | | | | | CSNLN | 2020-06-02 |
Densely Residual Laplacian Super-Resolution | ✓ Link | 27.14 | 0.8149 | | | | | DRLN+ | 2019-06-28 |
Deep Back-Projection Networks for Single Image Super-resolution | ✓ Link | 27.08 | 0.814 | | | | | DBPN-RES-MR64-3 | 2019-04-04 |
Image Super-Resolution via Attention based Back Projection Networks | ✓ Link | 27.06 | 0.811 | | | | | ABPN | 2019-10-10 |
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks | ✓ Link | 27.03 | 0.8153 | | | | | SRGAN + Residual-in-Residual Dense Block | 2018-09-01 |
Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 27.02 | 0.8131 | | | | | HAN+ | 2020-08-20 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | 27.01 | | | | | | RFN | 2019-07-24 |
A Fully Progressive Approach to Single-Image Super-Resolution | ✓ Link | 26.89 | | | | | | ProSR | 2018-04-09 |
Image Super-Resolution Using Very Deep Residual Channel Attention Networks | ✓ Link | 26.82 | 0.8087 | | | | | RCAN | 2018-07-08 |
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 26.74 | 0.806 | | | | | SwinOIR | 2023-03-16 |
Gated Multiple Feedback Network for Image Super-Resolution | ✓ Link | 26.69 | 0.8048 | | | | | GMFN | 2019-07-09 |
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 26.68 | 0.8057 | | | | | ML-CrAIST | 2024-08-19 |
Enhanced Deep Residual Networks for Single Image Super-Resolution | ✓ Link | 26.64 | 0.8033 | | | | | EDSR | 2017-07-10 |
Data Upcycling Knowledge Distillation for Image Super-Resolution | ✓ Link | 26.62 | 0.802 | | | | | RCAN (DUKD) | 2023-09-25 |
Residual Dense Network for Image Super-Resolution | ✓ Link | 26.61 | 0.8028 | | | | | RDN | 2018-02-24 |
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution | | 26.606 | | | | | | FACD | 2022-11-29 |
Feedback Network for Image Super-Resolution | ✓ Link | 26.6 | 0.8015 | | | | | SRFBN | 2019-03-23 |
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 26.53 | 0.8019 | | | | | ML-CrAIST-Li | 2024-08-19 |
Data Upcycling Knowledge Distillation for Image Super-Resolution | ✓ Link | 26.45 | 0.7963 | | | | | EDSR (DUKD) | 2023-09-25 |
Data Upcycling Knowledge Distillation for Image Super-Resolution | ✓ Link | 26.43 | 0.7972 | | | | | SwinIR (DUKD) | 2023-09-25 |
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification | ✓ Link | 26.42 | 0.7940 | | | | | Manifold Simplification | 2016-11-19 |
Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 26.27 | 0.7890 | | | | | MWCNN | 2018-05-18 |
Auto-Encoded Supervision for Perceptual Image Super-Resolution | ✓ Link | 26.148 | 0.7884 | 0.0945 | | 0.0742 | | AESOP | 2024-11-28 |
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 26.07 | 0.7837 | | | | | CARN | 2018-03-23 |
MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution | ✓ Link | 26.05 | 0.7834 | | | | | SRRAM | 2018-11-29 |
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution | ✓ Link | 26.04 | 0.785 | | | | | Extracter-rec | 2023-10-02 |
Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 26.04 | | | | | | IMDN | 2019-09-26 |
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network | ✓ Link | 26.03 | 0.7835 | | | | | BSRN | 2018-11-30 |
Non-Local Recurrent Network for Image Restoration | ✓ Link | 25.79 | 0.7729 | | | | | NLRN | 2018-06-07 |
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations | ✓ Link | 25.68 | 0.773 | | | | | SRMDNF | 2017-12-17 |
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis | ✓ Link | 25.66 | 0.7703 | | | | | ENet-E | 2016-12-23 |
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding | | 25.59 | 0.7680 | | | | | RL-CSC | 2018-12-31 |
MemNet: A Persistent Memory Network for Image Restoration | ✓ Link | 25.50 | 0.7630 | | | | | MemNet | 2017-08-07 |
Image Super-Resolution by Neural Texture Transfer | ✓ Link | 25.5 | | | | | | SRNTT-l2 | 2019-03-03 |
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks | ✓ Link | 25.42 | 0.771 | | | | | SESR | 2018-01-31 |
Fast and Accurate Single Image Super-Resolution via Information Distillation Network | ✓ Link | 25.41 | 0.7632 | | | | | IDN | 2018-03-26 |
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution | ✓ Link | 25.21 | 0.756 | | | | | LapSRN | 2017-04-12 |
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 25.2 | 0.7521 | | | | | DnCNN-3 | 2016-08-13 |
Image Super-Resolution via Dual-State Recurrent Networks | ✓ Link | 25.08 | 0.747 | | | | | DSRN | 2018-05-07 |
Structure-Preserving Super Resolution with Gradient Guidance | ✓ Link | 24.799 | 0.9481 | 0.1184 | 3.5511 | | | SPSR | 2020-03-29 |
Image Super-Resolution Using Deep Convolutional Networks | ✓ Link | 24.52 | 0.7221 | | | | | SRCNN | 2014-12-31 |
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation | ✓ Link | 24.33 | 0.7707 | 0.1065 | | 0.0764 | 48.32 | SROOE | 2022-11-24 |
Multi-Step Reinforcement Learning for Single Image Super-Resolution | ✓ Link | 23.28 | 0.7517 | | | | | PixelRL-SR | 2020-07-28 |
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks | ✓ Link | 23.14 | 0.6577 | | | | | bicubic | 2018-09-01 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | | 0.8169 | | | | | S-RFN | 2019-07-24 |
Deep Back-Projection Networks For Super-Resolution | ✓ Link | | 0.795 | | | | | D-DBPN | 2018-03-07 |
One-to-many Approach for Improving Super-Resolution | ✓ Link | | | 0.1007 | | | | Config (e) | 2021-06-19 |