DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 28.16 | 0.7577 | | | | DRCT-L | 2024-03-31 |
Hierarchical Information Flow for Generalized Efficient Image Restoration | | 28.13 | 0.7622 | | | | Hi-IR-L | 2024-11-27 |
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution | ✓ Link | 28.13 | 0.7562 | | | | HMA† | 2024-05-08 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 28.09 | 0.7551 | | | | HAT-L | 2022-05-09 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 28.07 | | | | | HAT_FIR | 2022-08-24 |
DRCT: Saving Image Super-resolution away from Information Bottleneck | ✓ Link | 28.06 | 0.7533 | | | | DRCT | 2024-03-31 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 28.06 | 0.7532 | | | | CPAT+ | 2024-07-23 |
Activating More Pixels in Image Super-Resolution Transformer | ✓ Link | 28.05 | 0.7534 | | | | HAT | 2022-05-09 |
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution | | 28.04 | 0.7527 | | | | CPAT | 2024-07-23 |
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution | ✓ Link | 28.03 | 0.7520 | | | | SwinFIR | 2022-08-24 |
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency | ✓ Link | 27.87 | 0.764 | | | | WaveMixSR-V2 | 2024-09-16 |
Densely Residual Laplacian Super-Resolution | ✓ Link | 27.87 | 0.7453 | | | | DRLN+ | 2019-06-28 |
Second-Order Attention Network for Single Image Super-Resolution | ✓ Link | 27.86 | 0.7457 | | | | SAN | 2019-06-01 |
Local Texture Estimator for Implicit Representation Function | ✓ Link | 27.86 | | | | | LTE | 2021-11-17 |
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks | ✓ Link | 27.85 | 0.7455 | | | | SRGAN + Residual-in-Residual Dense Block | 2018-09-01 |
Single Image Super-Resolution via a Holistic Attention Network | ✓ Link | 27.85 | 0.7454 | | | | HAN+ | 2020-08-20 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | 27.83 | | | | | RFN | 2019-07-24 |
Image Super-Resolution via Attention based Back Projection Networks | ✓ Link | 27.82 | 0.743 | | | | ABPN | 2019-10-10 |
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | ✓ Link | 27.8 | 0.7439 | | | | CSNLN | 2020-06-02 |
A Fully Progressive Approach to Single-Image Super-Resolution | ✓ Link | 27.79 | | | | | ProSR | 2018-04-09 |
Image Super-Resolution Using Very Deep Residual Channel Attention Networks | ✓ Link | 27.77 | 0.7436 | | | | RCAN | 2018-07-08 |
Hierarchical Back Projection Network for Image Super-Resolution | ✓ Link | 27.77 | 0.743 | | | | HBPN | 2019-06-17 |
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy | ✓ Link | 27.76 | 0.7441 | | | | SwinOIR | 2023-03-16 |
Gated Multiple Feedback Network for Image Super-Resolution | ✓ Link | 27.74 | 0.7421 | | | | GMFN | 2019-07-09 |
Residual Dense Network for Image Super-Resolution | ✓ Link | 27.72 | 0.7419 | | | | RDN | 2018-02-24 |
Feedback Network for Image Super-Resolution | ✓ Link | 27.72 | 0.7409 | | | | SRFBN | 2019-03-23 |
Deep Back-Projection Networks For Super-Resolution | ✓ Link | 27.72 | 0.740 | | | | D-DBPN | 2018-03-07 |
Enhanced Deep Residual Networks for Single Image Super-Resolution | ✓ Link | 27.71 | 0.7420 | | | | EDSR | 2017-07-10 |
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification | ✓ Link | 27.66 | 0.7380 | | | | Manifold Simplification | 2016-11-19 |
Multi-level Wavelet-CNN for Image Restoration | ✓ Link | 27.62 | 0.7355 | | | | MWCNN | 2018-05-18 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 27.58 | 0.762 | 2.29 | | | SRResNet | 2016-09-15 |
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network | ✓ Link | 27.58 | 0.7349 | | | | CARN | 2018-03-23 |
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network | ✓ Link | 27.57 | 0.7353 | | | | BSRN | 2018-11-30 |
MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution | ✓ Link | 27.56 | 0.7350 | | | | SRRAM | 2018-11-29 |
Lightweight Image Super-Resolution with Information Multi-distillation Network | ✓ Link | 27.56 | | | | | IMDN | 2019-09-26 |
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis | ✓ Link | 27.50 | 0.7326 | | | | ENet-E | 2016-12-23 |
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations | ✓ Link | 27.49 | 0.734 | | | | SRMDNF | 2017-12-17 |
Non-Local Recurrent Network for Image Restoration | ✓ Link | 27.48 | 0.7306 | | | | NLRN | 2018-06-07 |
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding | | 27.44 | 0.7302 | | | | RL-CSC | 2018-12-31 |
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks | ✓ Link | 27.42 | 0.737 | | | | SESR | 2018-01-31 |
Lightweight Feature Fusion Network for Single Image Super-Resolution | ✓ Link | 27.42 | | | | | LFFN-S | 2019-02-15 |
Fast and Accurate Single Image Super-Resolution via Information Distillation Network | ✓ Link | 27.41 | 0.7297 | | | | IDN | 2018-03-26 |
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections | ✓ Link | 27.40 | 0.7290 | | | | RED30 | 2016-03-30 |
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections | ✓ Link | 27.4 | 0.729 | | | | RED30 | 2016-06-29 |
MemNet: A Persistent Memory Network for Image Restoration | ✓ Link | 27.40 | 0.7281 | | | | MemNet | 2017-08-07 |
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution | ✓ Link | 27.32 | 0.728 | | | | LapSRN | 2017-04-12 |
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising | ✓ Link | 27.29 | 0.7253 | | | | DnCNN-3 | 2016-08-13 |
Image Super-Resolution via Dual-State Recurrent Networks | ✓ Link | 27.25 | 0.724 | | | | DSRN | 2018-05-07 |
Deeply-Recursive Convolutional Network for Image Super-Resolution | ✓ Link | 27.21 | 0.7493 | 2.12 | | | DRCN | 2015-11-14 |
Image Restoration Using Deep Regulated Convolutional Networks | ✓ Link | 27.21 | | | | | RC-Net | 2019-10-19 |
Seven ways to improve example-based single image super resolution | | 27.16 | | | | | IA | 2015-11-06 |
"Zero-Shot" Super-Resolution using Deep Internal Learning | ✓ Link | 27.12 | 0.7211 | | | | ZSSR | 2017-12-17 |
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network | ✓ Link | 27.02 | 0.7442 | 2.01 | | | ESPCN | 2016-09-16 |
Image Super-resolution via Feature-augmented Random Forest | ✓ Link | 26.91 | | | | | FAFR* | 2017-12-14 |
Image Super-Resolution Using Deep Convolutional Networks | ✓ Link | 26.9 | 0.7101 | | | | SRCNN | 2014-12-31 |
Joint Maximum Purity Forest with Application to Image Super-Resolution | ✓ Link | 26.87 | | | | | JMPF+ | 2017-08-30 |
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality | ✓ Link | 26.5707 | 0.6900 | | | | 4PP-EUSR | 2018-09-13 |
Flexible Style Image Super-Resolution using Conditional Objective | ✓ Link | 26.38 | 0.738 | | 0.3433 | | FxSR-PD t=0.0 | 2022-01-13 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 25.94 | 0.6935 | 1.47 | | | bicubic | 2016-09-15 |
Auto-Encoded Supervision for Perceptual Image Super-Resolution | ✓ Link | 25.93 | 0.6813 | | 0.1385 | 0.1072 | AESOP | 2024-11-28 |
Structure-Preserving Super Resolution with Gradient Guidance | ✓ Link | 25.505 | 0.6576 | | 0.1611 | | SPSR | 2020-03-29 |
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform | ✓ Link | 25.33 | 0.651 | | | | SFT-GAN | 2018-04-09 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 25.16 | 0.6688 | 3.56 | | | SRGAN | 2016-09-15 |
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | ✓ Link | 25.02 | 0.6606 | 1.11 | | | nearest neighbors | 2016-09-15 |
Perceptual Losses for Real-Time Style Transfer and Super-Resolution | ✓ Link | 24.95 | 0.6317 | | | | Perceptual Loss | 2016-03-27 |
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation | ✓ Link | 24.87 | 0.6869 | | 0.1500 | | SROOE | 2022-11-24 |
Flexible Style Image Super-Resolution using Conditional Objective | ✓ Link | 24.77 | 0.6817 | | 0.1572 | | FxSR-PD t=0.8 | 2022-01-13 |
Edge-Informed Single Image Super-Resolution | ✓ Link | 24.25 | 0.851 | | | | Edge-informed SR | 2019-09-11 |
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution | ✓ Link | | 0.7605 | | | | WaveMixSR | 2023-07-01 |
Progressive Perception-Oriented Network for Single Image Super-Resolution | ✓ Link | | 0.7515 | | | | S-RFN | 2019-07-24 |
One-to-many Approach for Improving Super-Resolution | ✓ Link | | | | 0.1209 | | Config (e) | 2021-06-19 |