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 Bsd100 2X Upscaling
Image Super Resolution On Bsd100 2X Upscaling
Metrics
PSNR
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
Paper Title
Repository
MWCNN
32.23
Multi-level Wavelet-CNN for Image Restoration
SwinFIR
32.64
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Hi-IR-L
32.77
Hierarchical Information Flow for Generalized Efficient Image Restoration
-
CARN [[Ahn et al.2018]]
32.09
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
DnCNN-3
31.9
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
HAT-L
32.74
Activating More Pixels in Image Super-Resolution Transformer
WaveMixSR-V2
33.12
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
FALSR-A
32.12
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
RED30
31.99
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
IMDN
32.19
Lightweight Image Super-Resolution with Information Multi-distillation Network
CPAT
32.64
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
DRCT-L
32.90
DRCT: Saving Image Super-resolution away from Information Bottleneck
LTE
32.44
Local Texture Estimator for Implicit Representation Function
HAT_FIR
32.71
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
SwinOIR
32.34
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
SRFBN
32.29
Feedback Network for Image Super-Resolution
CSNLN
32.4
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
IPT
32.48
Pre-Trained Image Processing Transformer
FSRCNN [[Dong et al.2016]]
31.53
Accelerating the Super-Resolution Convolutional Neural Network
HMA†
32.79
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
0 of 30 row(s) selected.
Previous
Next