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SOTA
Deblurring
Deblurring On Realblur R
Deblurring On Realblur R
Metrics
PSNR (sRGB)
Params
SSIM (sRGB)
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR (sRGB)
Params
SSIM (sRGB)
Paper Title
Repository
MSSNet
39.76
15.59
0.972
MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
ALGNet
41.16
-
0.981
Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
DeblurGAN-v2
36.44
-
0.935
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
MPRNet
39.31
-
0.972
Multi-Stage Progressive Image Restoration
BANet
39.55
-
0.971
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
DeepRFT+
40.01
-
0.973
Intriguing Findings of Frequency Selection for Image Deblurring
Stripformer
39.84
20
0.974
Stripformer: Strip Transformer for Fast Image Deblurring
FFTformer
40.11
-
0.9737
Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
MAXIM
39.45
-
-
MAXIM: Multi-Axis MLP for Image Processing
SRN
38.65
8.06
0.965
Scale-recurrent Network for Deep Image Deblurring
ID-Blau (FFTformer)
40.45
-
0.975
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
LoFormer
40.23
-
0.974
LoFormer: Local Frequency Transformer for Image Deblurring
ID-Blau (Stripformer)
41.06
-
0.977
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MLWNet
40.69
-
0.976
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
ID-Blau (Restormer)
40.31
-
0.974
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MAXIM-3S
-
-
0.961
MAXIM: Multi-Axis MLP for Image Processing
AdaRevD
41.19
-
0.979
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
0 of 17 row(s) selected.
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