Deblurring On Gopro

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PSNR

SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

			Paper Title	Repository
BSSTNet	35.98	0.9792	Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
GShift-Net	35.88	0.979	A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift
DLEFNet	35.61	0.973	Deformable Convolutions and LSTM-based Flexible Event Frame Fusion Network for Motion Deblurring	-
EFNet	35.46	0.972	Event-Based Fusion for Motion Deblurring with Cross-modal Attention
NIRE	35.03	0.973	Neural Image Re-Exposure
VRT	34.81	0.9724	VRT: A Video Restoration Transformer
AdaRevD	34.6	0.972	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
Turtle	34.5	0.972	Learning Truncated Causal History Model for Video Restoration
ID-Blau (FFTformer)	34.36	0.970	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MADANet	33.84	0.964	Motion Aware Double Attention Network for Dynamic Scene Deblurring	-
MLWNet	33.83	0.968	Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
RNN-MBP-Local	33.8	0.966	Improving Image Restoration by Revisiting Global Information Aggregation
NAFNet	33.69	0.967	Simple Baselines for Image Restoration
ID-Blau (Stripformer)	33.66	0.966	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
DeblurDiNAT-L	33.63	0.967	DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
Restormer-Local	33.57	0.966	Improving Image Restoration by Revisiting Global Information Aggregation
DeepRFT+	33.52	0.965	Intriguing Findings of Frequency Selection for Image Deblurring
ID-Blau (Restormer)	33.51	0.965	ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
MSSNet-large	33.39	0.964	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
RNN-MBP	33.32	0.9627	Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

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Deblurring On Gopro

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평가 결과