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Transitional Learning: Exploring the Transition States of Degradation
  for Blind Super-resolution

Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution

29 March 2021
Yuanfei Huang
Jie Li
Yanting Hu
Xinbo Gao
Huan Huang
ArXivPDFHTML

Papers citing "Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution"

4 / 54 papers shown
Title
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
148
8,075
0
31 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,933
0
20 Dec 2013
Image Deblurring and Super-resolution by Adaptive Sparse Domain
  Selection and Adaptive Regularization
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
W. Dong
Lei Zhang
Guangming Shi
Xiaolin Wu
92
1,355
0
06 Dec 2010
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