| DRCT-L |
- PSNR
- 39.14
- SSIM
- 0.9658
|
DRCT: Saving Image Super-resolution away from Information Bottleneck 2024-03-31 |
코드 1 |
| HMA† |
- PSNR
- 38.95
- SSIM
- 0.9649
|
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution 2024-05-08 |
코드 1 |
| HAT-L |
- PSNR
- 38.91
- SSIM
- 0.9646
|
Activating More Pixels in Image Super-Resolution Transformer 2022-05-09 |
코드 1 · 코드 2 |
| Hi-IR-L |
- PSNR
- 38.87
- SSIM
- 0.9663
|
Hierarchical Information Flow for Generalized Efficient Image Restoration 2024-11-27 |
연결 없음 |
| HAT_FIR |
- PSNR
- 38.74
|
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution 2022-08-24 |
코드 1 · 코드 2 |
| HAT |
- PSNR
- 38.73
- SSIM
- 0.9637
|
Activating More Pixels in Image Super-Resolution Transformer 2022-05-09 |
코드 1 · 코드 2 |
| DRCT |
- PSNR
- 38.72
- SSIM
- 0.9646
|
DRCT: Saving Image Super-resolution away from Information Bottleneck 2024-03-31 |
코드 1 |
| CPAT+ |
- PSNR
- 38.72
- SSIM
- 0.9635
|
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution 2024-07-23 |
연결 없음 |
| CPAT |
- PSNR
- 38.68
- SSIM
- 0.9633
|
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution 2024-07-23 |
연결 없음 |
| SwinFIR |
- PSNR
- 38.65
- SSIM
- 0.9633
|
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution 2022-08-24 |
코드 1 · 코드 2 |
| EDT-B |
- PSNR
- 38.63
- SSIM
- 0.9632
|
On Efficient Transformer-Based Image Pre-training for Low-Level Vision 2021-12-19 |
코드 1 |
| MaIR+ |
- PSNR
- 38.62
- SSIM
- 0.963
|
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration 2024-12-28 |
코드 1 |
| MaIR |
- PSNR
- 38.56
- SSIM
- 0.9628
|
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration 2024-12-28 |
코드 1 |
| DRLN+ |
- PSNR
- 38.34
- SSIM
- 0.9619
|
Densely Residual Laplacian Super-Resolution 2019-06-28 |
코드 1 |
| HAN+ |
- PSNR
- 38.33
- SSIM
- 0.9299
|
Single Image Super-Resolution via a Holistic Attention Network 2020-08-20 |
코드 1 · 코드 2 |
| LTE |
- PSNR
- 38.33
|
Local Texture Estimator for Implicit Representation Function 2021-11-17 |
코드 1 |
| CSNLN |
- PSNR
- 38.28
- SSIM
- 0.9616
|
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining 2020-06-02 |
코드 1 · 코드 2 · 코드 3 |
| FACD |
- PSNR
- 38.242
|
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution 2022-11-29 |
연결 없음 |
| PMRN+ |
- PSNR
- 38.22
- SSIM
- 0.9612
|
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution 2020-07-19 |
연결 없음 |
| SwinOIR |
- PSNR
- 38.21
- SSIM
- 0.9614
|
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy 2023-03-16 |
코드 1 · 코드 2 |
| ML-CrAIST |
- PSNR
- 38.19
- SSIM
- 0.9617
|
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer 2024-08-19 |
코드 1 |
| ML-CrAIST-Li |
- PSNR
- 38.15
- SSIM
- 0.9615
|
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer 2024-08-19 |
코드 1 |
| HBPN |
- PSNR
- 38.13
- SSIM
- 0.961
|
Hierarchical Back Projection Network for Image Super-Resolution 2019-06-17 |
코드 1 |
| SRFBN |
- PSNR
- 38.11
|
Feedback Network for Image Super-Resolution 2019-03-23 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| DBPN-RES-MR64-3 |
- PSNR
- 38.08
- SSIM
- 0.96
|
Deep Back-Projection Networks for Single Image Super-resolution 2019-04-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 |
| SPBP-L+ |
- PSNR
- 38.05
- SSIM
- 0.9606
|
Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution 2020-08-03 |
코드 1 |
| IMDN |
- PSNR
- 38.00
|
Lightweight Image Super-Resolution with Information Multi-distillation Network 2019-09-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| MWCNN |
- PSNR
- 37.91
|
Multi-level Wavelet-CNN for Image Restoration 2018-05-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| FALSR-A |
- PSNR
- 37.82
|
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search 2019-01-22 |
코드 1 · 코드 2 |
| CARN [[Ahn et al.2018]] |
- PSNR
- 37.76
|
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network 2018-03-23 |
코드 1 · 코드 2 · 코드 3 |