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SOTA
Image Super Resolution
Image Super Resolution On Bsd100 4X Upscaling
Image Super Resolution On Bsd100 4X Upscaling
评估指标
PSNR
SSIM
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
PSNR
SSIM
Paper Title
Repository
HAT
28.05
0.7534
Activating More Pixels in Image Super-Resolution Transformer
BSRN
27.57
0.7353
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network
ProSR
27.79
-
A Fully Progressive Approach to Single-Image Super-Resolution
DRCT-L
28.16
0.7577
DRCT: Saving Image Super-resolution away from Information Bottleneck
SPSR
25.505
0.6576
Structure-Preserving Super Resolution with Gradient Guidance
ZSSR
27.12
0.7211
"Zero-Shot" Super-Resolution using Deep Internal Learning
SRGAN
25.16
0.6688
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
CSNLN
27.8
0.7439
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Manifold Simplification
27.66
0.7380
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
SRResNet
27.58
0.762
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
DRCT
28.06
0.7533
DRCT: Saving Image Super-resolution away from Information Bottleneck
NLRN
27.48
0.7306
Non-Local Recurrent Network for Image Restoration
IMDN
27.56
-
Lightweight Image Super-Resolution with Information Multi-distillation Network
Config (e)
-
-
One-to-many Approach for Improving Super-Resolution
RDN
27.72
0.7419
Residual Dense Network for Image Super-Resolution
CPAT+
28.06
0.7532
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
RFN
27.83
-
Progressive Perception-Oriented Network for Single Image Super-Resolution
GMFN
27.74
0.7421
Gated Multiple Feedback Network for Image Super-Resolution
WaveMixSR-V2
27.87
0.764
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
RL-CSC
27.44
0.7302
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding
-
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