Image Deblurring On Gopro

评估指标

PSNR

SSIM

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	SSIM	Paper Title	Repository
LoFormer	34.09	0.969	LoFormer: Local Frequency Transformer for Image Deblurring
DeblurGAN-v2	29.55	0.925	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
IRNeXt	33.16	0.962	IRNeXt: Rethinking Convolutional Network Design for Image Restoration
BANet	-	0.957	BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
HINet-TLC	33.08	0.962	Improving Image Restoration by Revisiting Global Information Aggregation
Blurred-Image-to-Video	30.58	0.941	Bringing Alive Blurred Moments
NAFNet-MH-C	33.75	0.967	Multi-Outputs Is All You Need For Deblur
SRN+PSS+NSC	31.58	0.9478	Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
DMPHN	31.50	0.9483	Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
Restormer-TLC	33.57	0.966	Improving Image Restoration by Revisiting Global Information Aggregation
Hi-IR-L	33.99	-	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
AdaRevD	34.6	0.972	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
MAXIM-3S	32.86	-	MAXIM: Multi-Axis MLP for Image Processing
MT-RNN	31.15	0.945	Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
MR-VNet	34.04	0.969	MR-VNet: Media Restoration using Volterra Networks	-
MADANet	33.84	0.964	Motion Aware Double Attention Network for Dynamic Scene Deblurring	-
DeepRFT+	33.52	0.965	Intriguing Findings of Frequency Selection for Image Deblurring
Restormer	32.92	0.961	Restormer: Efficient Transformer for High-Resolution Image Restoration
DeepDeblur-PyTorch	30.12	0.9021	-	-
NAFNet - TLC	33.69	0.967	Simple Baselines for Image Restoration

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