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Deblurring On Hide Trained On Gopro

Metrics

PSNR (sRGB)
Params (M)
SSIM (sRGB)

Results

Performance results of various models on this benchmark

Model Name
PSNR (sRGB)
Params (M)
SSIM (sRGB)
Paper TitleRepository
MPRNet-TLC31.1920.10.942Improving Image Restoration by Revisiting Global Information Aggregation-
Suin et al29.98-0.930--
MPRNet30.9620.10.939Multi-Stage Progressive Image Restoration-
Restormer-TLC31.4926.130.945Improving Image Restoration by Revisiting Global Information Aggregation-
DeepRFT+31.66-0.946Intriguing Findings of Frequency Selection for Image Deblurring-
AdaRevD32.35-0.953AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring-
Stripformer31.03-0.94Stripformer: Strip Transformer for Fast Image Deblurring-
DeblurDiNAT-L31.4716.10.944DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains-
FFTformer31.6216.60.9455Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring-
CAPTNet31.86-0.949Prompt-based Ingredient-Oriented All-in-One Image Restoration-
MAXIM32.8322.20.956MAXIM: Multi-Axis MLP for Image Processing-
Gao et al29.11-0.913--
Uformer-B30.8350.880.952Uformer: A General U-Shaped Transformer for Image Restoration-
LaKDNet31.5837.50.946Revisiting Image Deblurring with an Efficient ConvNet-
DBGAN28.94-0.915Deblurring by Realistic Blurring-
Nah et al25.73--Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring-
MT-RNN29.152.60.918Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training-
LoFormer31.86-0.949LoFormer: Local Frequency Transformer for Image Deblurring-
Restormer31.2226.130.942Restormer: Efficient Transformer for High-Resolution Image Restoration-
BANet30.16-0.93BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring-
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Deblurring On Hide Trained On Gopro | SOTA | HyperAI