Deblurring On Realblur R Trained On Gopro

评估指标

PSNR (sRGB)
SSIM (sRGB)

评测结果

各个模型在此基准测试上的表现结果

模型名称
PSNR (sRGB)
SSIM (sRGB)
Paper TitleRepository
LaKDNet36.080.955Revisiting Image Deblurring with an Efficient ConvNet-
Pan et al34.010.916Blind Image Deblurring Using Dark Channel Prior-
Xu et al-0.937Unnatural L0 Sparse Representation for Natural Image Deblurring-
MPRNet35.990.952Multi-Stage Progressive Image Restoration-
SRN-0.947Scale-recurrent Network for Deep Image Deblurring-
ALGNet36.350.961Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring-
AdaRevD36.530.957AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring-
DMPHN-0.948Deep Stacked Hierarchical Multi-patch Network for Image Deblurring-
Restormer36.190.957Restormer: Efficient Transformer for High-Resolution Image Restoration-
DeblurDiNAT-L36.090.955DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains-
Zhang et al-0.947Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
Nah et al-0.841Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring-
DeblurGAN-v2-0.944DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better-
Uformer-B36.220.957Uformer: A General U-Shaped Transformer for Image Restoration-
DeblurGAN-0.903DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks-
Hu et al33.670.916Deblurring Low-light Images with Light Streaks-
MAXIM35.78-MAXIM: Multi-Axis MLP for Image Processing-
DeepRFT36.110.955Intriguing Findings of Frequency Selection for Image Deblurring-
MSSNet35.930.953MSSNet: Multi-Scale-Stage Network for Single Image Deblurring-
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Deblurring On Realblur R Trained On Gopro | SOTA | HyperAI超神经