HyperAI
Home
News
Latest Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
English
HyperAI
Toggle sidebar
Search the site…
⌘
K
Home
SOTA
Image Super Resolution
Image Super Resolution On Set14 4X Upscaling
Image Super Resolution On Set14 4X Upscaling
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
SSIM
Paper Title
Repository
ATD
29.24
0.7974
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
Manifold Simplification
28.80
0.7856
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
BSRN
28.56
0.7803
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network
HBPN
28.67
0.785
Hierarchical Back Projection Network for Image Super-Resolution
Extracter-rec
28.09
0.782
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution
HMA†
29.51
0.8019
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
ENet-E
28.42
0.7774
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
SPSR
26.64
0.7930
Structure-Preserving Super Resolution with Gradient Guidance
MaIR
29.2
0.7958
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
-
ProSR
28.94
-
A Fully Progressive Approach to Single-Image Super-Resolution
CRAFT
28.85
0.7872
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution
SESR
28.32
0.784
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
AESOP
27.421
0.7438
Auto-Encoded Supervision for Perceptual Image Super-Resolution
GMFN
28.84
0.7888
Gated Multiple Feedback Network for Image Super-Resolution
CPAT
29.34
0.7991
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
bicubic
-
0.7486
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
SPMC
27.57
0.76
Detail-revealing Deep Video Super-resolution
4PP-EUSR
27.6222
0.7419
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Edge-informed SR
25.19
0.894
Edge-Informed Single Image Super-Resolution
S-RFN
-
0.7946
Progressive Perception-Oriented Network for Single Image Super-Resolution
0 of 103 row(s) selected.
Previous
Next