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홈
SOTA
Deblurring
Deblurring On Gopro
Deblurring On Gopro
평가 지표
PSNR
SSIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
PSNR
SSIM
Paper Title
Repository
STFAN
28.59
0.861
Spatio-Temporal Filter Adaptive Network for Video Deblurring
SAPHNet
32.02
0.953
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring
-
MIMO-UNet++
32.68
0.959
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
VRT
34.81
0.9724
VRT: A Video Restoration Transformer
Ghost-DeblurGAN
28.75
0.919
Application of Ghost-DeblurGAN to Fiducial Marker Detection
-
FGST
33.03
0.964
Flow-Guided Sparse Transformer for Video Deblurring
MADANet
33.84
0.964
Motion Aware Double Attention Network for Dynamic Scene Deblurring
-
DeblurGAN-v2
29.55
0.934
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGANv2-MobileNet
28.17
0.925
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
RNN-MBP
33.32
0.9627
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring
MSSNet-small
32.02
0.953
MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
Nah et al
29.08
0.9135
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
CDVD-TSP
31.67
0.9279
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
Stripformer
33.08
0.962
Stripformer: Strip Transformer for Fast Image Deblurring
Restormer-Local
33.57
0.966
Improving Image Restoration by Revisiting Global Information Aggregation
ID-Blau (Restormer)
33.51
0.965
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
BANet
32.54
0.957
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
HINet-local
33.08
0.962
Improving Image Restoration by Revisiting Global Information Aggregation
ESTRNN
31.07
0.9023
Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
Blurred-Image-to-Video
30.58
0.941
Bringing Alive Blurred Moments
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