DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 29.54 | 0.8025 | | | | DRCT-L | 2024-03-31 |
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 29.51 | 0.8019 | | | | HMA† | 2024-05-08 |
Hierarchical Information Flow for Generalized Efficient Image Restoration | | 29.49 | 0.8041 | | | | Hi-IR-L | 2024-11-27 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 29.47 | 0.8015 | | | | HAT-L | 2022-05-09 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 29.44 | | | | | HAT_FIR | 2022-08-24 |
DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 29.40 | 0.8003 | | | | DRCT | 2024-03-31 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 29.38 | 0.8001 | | | | HAT | 2022-05-09 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 29.36 | 0.7996 | | | | CPAT+ | 2024-07-23 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 29.36 | 0.7993 | | | | SwinFIR | 2022-08-24 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 29.34 | 0.7991 | | | | CPAT | 2024-07-23 |
CFAT: Unleashing Triangular Windows for Image Super-resolution | ✓ Link | 29.30 | 0.7985 | | | | CFAT | 2024-01-01 |
Dual Aggregation Transformer for Image Super-Resolution | ✓ Link | 29.29 | 0.7983 | | | | DAT+ | 2023-08-07 |
Progressive Focused Transformer for Single Image Super-Resolution | ✓ Link | 29.29 | 0.7978 | | | | PFT | 2025-03-26 |
Recursive Generalization Transformer for Image Super-Resolution | ✓ Link | 29.28 | 0.7979 | | | | RGT+ | 2023-03-11 |
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 29.28 | 0.7974 | | | | MaIR+ | 2024-12-28 |
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary | ✓ Link | 29.24 | 0.7974 | | | | ATD | 2024-01-16 |
Dual Aggregation Transformer for Image Super-Resolution | ✓ Link | 29.23 | 0.7973 | | | | DAT | 2023-08-07 |
Recursive Generalization Transformer for Image Super-Resolution | ✓ Link | 29.23 | 0.7972 | | | | RGT | 2023-03-11 |
[]() | | 29.20 | 0.7973 | | | | Contrast | |
MambaIR: A Simple Baseline for Image Restoration with State-Space Model | ✓ Link | 29.20 | 0.7961 | | | | MambaIR | 2024-02-23 |
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration | ✓ Link | 29.2 | 0.7958 | | | | MaIR | 2024-12-28 |
SwinIR: Image Restoration Using Swin Transformer | ✓ Link | 29.15 | 0.7958 | | | | SwinIR | 2021-08-23 |
Multi-scale Attention Network for Single Image Super-Resolution | ✓ Link | 29.12 | 0.7941 | | | | MAN+ | 2022-09-28 |
BAM: A Balanced Attention Mechanism for Single Image Super Resolution | ✓ Link | 29.08 | 0.7925 | | | | DRLN-BAM | 2021-04-15 |
Multi-scale Attention Network for Single Image Super-Resolution | ✓ Link | 29.07 | 0.7934 | | | | MAN | 2022-09-28 |
Local Texture Estimator for Implicit Representation Function | ✓ Link | 29.06 | | | | | LTE | 2021-11-17 |
Second-Order Attention Network for Single Image Super-Resolution | ✓ Link | 29.05 | 0.7921 | | | | SAN | 2019-06-01 |
Deep Back-Projection Networks for Single Image Super-resolution | ✓ Link | 29.03 | 0.791 | | | | DBPN-RES-MR64-3 | 2019-04-04 |
Densely Residual Laplacian Super-Resolution | ✓ Link | 29.02 | 0.7914 | | | | DRLN+ | 2019-06-28 |
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks | ✓ Link | 28.99 | 0.7917 | | | | SRGAN + Residual-in-Residual Dense Block | 2018-09-01 |
Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 28.99 | 0.7907 | | | | HAN+ | 2020-08-20 |
Image Reconstruction with Predictive Filter Flow | ✓ Link | 28.98 | 0.7904 | | | | PFF | 2018-11-28 |
Efficient Long-Range Attention Network for Image Super-resolution | ✓ Link | 28.96 | 0.7914 | | | | ELAN | 2022-03-13 |
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 28.95 | 0.7888 | | | | CSNLN | 2020-06-02 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | 28.95 | | | | | RFN | 2019-07-24 |
Image Super-Resolution via Attention based Back Projection Networks | ✓ Link | 28.94 | 0.789 | | | | ABPN | 2019-10-10 |
A Fully Progressive Approach to Single-Image Super-Resolution | ✓ Link | 28.94 | | | | | ProSR | 2018-04-09 |
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 28.92 | 0.7892 | | | | SwinOIR | 2023-03-16 |
Image Super-Resolution Using Very Deep Residual Channel Attention Networks | ✓ Link | 28.87 | 0.7889 | | | | RCAN | 2018-07-08 |
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution | | 28.87 | 0.7880 | | | | HiT-SRF | 2024-07-08 |
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution | ✓ Link | 28.85 | 0.7872 | | | | CRAFT | 2023-08-09 |
Gated Multiple Feedback Network for Image Super-Resolution | ✓ Link | 28.84 | 0.7888 | | | | GMFN | 2019-07-09 |
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution | | 28.84 | 0.7873 | | | | HiT-SiR | 2024-07-08 |
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution | | 28.83 | 0.7873 | | | | HiT-SNG | 2024-07-08 |
CAMixerSR: Only Details Need More "Attention" | ✓ Link | 28.82 | 0.7870 | | | | CAMixerSR | 2024-02-29 |
Deep Back-Projection Networks For Super-Resolution | ✓ Link | 28.82 | 0.786 | | | | D-DBPN | 2018-03-07 |
Residual Dense Network for Image Super-Resolution | ✓ Link | 28.81 | 0.7871 | | | | RDN | 2018-02-24 |
Feedback Network for Image Super-Resolution | ✓ Link | 28.81 | 0.7868 | | | | SRFBN | 2019-03-23 |
Enhanced Deep Residual Networks for Single Image Super-Resolution | ✓ Link | 28.80 | 0.7876 | | | | EDSR | 2017-07-10 |
Data Upcycling Knowledge Distillation for Image Super-Resolution | ✓ Link | 28.80 | 0.7866 | | | | DUKD | 2023-09-25 |
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification | ✓ Link | 28.80 | 0.7856 | | | | Manifold Simplification | 2016-11-19 |
Efficient Long-Range Attention Network for Image Super-resolution | ✓ Link | 28.78 | 0.7858 | | | | ELAN-light | 2022-03-13 |
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach | ✓ Link | 28.73 | 0.7842 | | | | CFSR | 2024-01-11 |
Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 28.67 | 0.785 | | | | HBPN | 2019-06-17 |
Swift Parameter-free Attention Network for Efficient Super-Resolution | ✓ Link | 28.66 | 0.7834 | | | | SPAN | 2023-11-21 |
Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution | ✓ Link | 28.60 | 0.7813 | | | | SAFMN | 2023-02-27 |
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 28.60 | 0.7806 | | | | CARN | 2018-03-23 |
Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 28.58 | | | | | IMDN | 2019-09-26 |
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network | ✓ Link | 28.56 | 0.7803 | | | | BSRN | 2018-11-30 |
MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution | ✓ Link | 28.54 | 0.7800 | | | | SRRAM | 2018-11-29 |
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 28.53 | 0.7895 | | | | ML-CrAIST | 2024-08-19 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 28.49 | 0.8184 | 2.98 | | | SRResNet | 2016-09-15 |
Cascade Convolutional Neural Network for Image Super-Resolution | | 28.47 | 0.7720 | | | | CSRCNN | 2020-08-24 |
Lightweight image super-resolution with enhanced CNN | ✓ Link | 28.44 | 0.7772 | | | | LESRCNN | 2020-07-08 |
Lightweight image super-resolution with enhanced CNN | ✓ Link | 28.43 | 0.7776 | | | | LESRCNN-S | 2020-07-08 |
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis | ✓ Link | 28.42 | 0.7774 | | | | ENet-E | 2016-12-23 |
Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 28.41 | 0.7816 | | | | MWCNN | 2018-05-18 |
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer | ✓ Link | 28.4 | 0.7863 | | | | ML-CrAIST-Li | 2024-08-19 |
Image super-resolution via dynamic network | ✓ Link | 28.38 | 0.7760 | | | | DSRNet | 2023-10-16 |
Non-Local Recurrent Network for Image Restoration | ✓ Link | 28.36 | 0.7745 | | | | NLRN | 2018-06-07 |
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations | ✓ Link | 28.35 | 0.777 | | | | SRMDNF | 2017-12-17 |
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks | ✓ Link | 28.32 | 0.784 | | | | SESR | 2018-01-31 |
Efficient Image Super-Resolution via Symmetric Visual Attention Network | | 28.30 | 0.7736 | | | | SVAN | 2024-01-17 |
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding | | 28.29 | 0.7741 | | | | RL-CSC | 2018-12-31 |
MemNet: A Persistent Memory Network for Image Restoration | ✓ Link | 28.26 | 0.7723 | | | | MemNet | 2017-08-07 |
Fast and Accurate Single Image Super-Resolution via Information Distillation Network | ✓ Link | 28.25 | 0.773 | | | | IDN | 2018-03-26 |
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution | ✓ Link | 28.19 | 0.772 | | | | LapSR | 2017-04-12 |
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution | ✓ Link | 28.09 | 0.782 | | | | Extracter-rec | 2023-10-02 |
Image Super-Resolution via Dual-State Recurrent Networks | ✓ Link | 28.07 | 0.770 | | | | DSRN | 2018-05-07 |
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 28.04 | 0.7672 | | | | DnCNN-3 | 2016-08-13 |
Deeply-Recursive Convolutional Network for Image Super-Resolution | ✓ Link | 28.02 | 0.8074 | 2.84 | | | DRCN | 2015-11-14 |
"Zero-Shot" Super-Resolution using Deep Internal Learning | ✓ Link | 28.01 | 0.7651 | | | | ZSSR | 2017-12-17 |
Seven ways to improve example-based single image super resolution | | 27.88 | | | | | IA | 2015-11-06 |
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections | ✓ Link | 27.86 | 0.7718 | | | | RED30 | 2016-06-29 |
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module | ✓ Link | 27.83 | 0.7631 | | | | MSSRNet | 2017-07-22 |
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution | | 27.72 | 0.7405 | | | | PMRN+ | 2020-07-19 |
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration | | 27.68 | | | | | TNRD | 2015-08-12 |
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network | ✓ Link | 27.66 | 0.8004 | 2.52 | | | ESPCN | 2016-09-16 |
DeepRED: Deep Image Prior Powered by RED | ✓ Link | 27.63 | | | | | DeepRED | 2019-03-25 |
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality | ✓ Link | 27.6222 | 0.7419 | | | | 4PP-EUSR | 2018-09-13 |
Learning Deep CNN Denoiser Prior for Image Restoration | ✓ Link | 27.59 | | | | | Deep CNN Denoiser | 2017-04-11 |
Detail-revealing Deep Video Super-resolution | ✓ Link | 27.57 | 0.76 | | | | SPMC | 2017-04-10 |
Image Super-Resolution Using Deep Convolutional Networks | ✓ Link | 27.5 | 0.7513 | | | | SRCNN | 2014-12-31 |
Image Super-resolution via Feature-augmented Random Forest | ✓ Link | 27.48 | | | | | FAFR* | 2017-12-14 |
Auto-Encoded Supervision for Perceptual Image Super-Resolution | ✓ Link | 27.421 | 0.7438 | | 0.1027 | 0.0819 | AESOP | 2024-11-28 |
Joint Maximum Purity Forest with Application to Image Super-Resolution | ✓ Link | 27.37 | | | | | JMPF+ | 2017-08-30 |
Structure-Preserving Super Resolution with Gradient Guidance | ✓ Link | 26.64 | 0.7930 | | | | SPSR | 2020-03-29 |
Deep Mean-Shift Priors for Image Restoration | ✓ Link | 26.22 | | | | | Deep Mean-Shift Priors | 2017-09-12 |
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform | ✓ Link | 26.13 | 0.694 | | | | SFT-GAN | 2018-04-09 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 25.99 | 0.7397 | 3.72 | | | SRGAN | 2016-09-15 |
Edge-Informed Single Image Super-Resolution | ✓ Link | 25.19 | 0.894 | | | | Edge-informed SR | 2019-09-11 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 24.64 | 0.71 | 1.2 | | | nearest neighbors | 2016-09-15 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | | 0.7946 | | | | S-RFN | 2019-07-24 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | | 0.7486 | 1.8 | | | bicubic | 2016-09-15 |