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홈
SOTA
Deblurring
Deblurring On Realblur R
Deblurring On Realblur R
평가 지표
PSNR (sRGB)
Params
SSIM (sRGB)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
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
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