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Deblurring On Realblur R

Metrics

PSNR (sRGB)
Params
SSIM (sRGB)

Results

Performance results of various models on this benchmark

Paper TitleRepository
AdaRevD41.19-0.979AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
ALGNet41.16-0.981Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
ID-Blau (Stripformer)41.06-0.977ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MLWNet40.69-0.976Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
ID-Blau (FFTformer)40.45-0.975ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
ID-Blau (Restormer)40.31-0.974ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
LoFormer40.23-0.974LoFormer: Local Frequency Transformer for Image Deblurring
FFTformer40.11-0.9737Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
DeepRFT+40.01-0.973Intriguing Findings of Frequency Selection for Image Deblurring
Stripformer39.84200.974Stripformer: Strip Transformer for Fast Image Deblurring
MSSNet39.7615.590.972MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
BANet39.55-0.971BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
MAXIM39.45--MAXIM: Multi-Axis MLP for Image Processing
MPRNet39.31-0.972Multi-Stage Progressive Image Restoration
SRN38.658.060.965Scale-recurrent Network for Deep Image Deblurring
DeblurGAN-v236.44-0.935DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
MAXIM-3S--0.961MAXIM: Multi-Axis MLP for Image Processing
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Deblurring On Realblur R | SOTA | HyperAI