Trainable Nonexpansive Denoisers for Contractive Image Reconstruction | Paper Citation Record

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This paper cites Oracle inequalities and minimax rates for nonlocal means and related adaptive kernel-based methods.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Oracle inequalities and minimax rates for nonlocal means and related adaptive kernel-based methods

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction A non-local algorithm for image denoising

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction It has potential: G radient-driven denoisers for convergent solutions to inverse problems

Reference 5

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This paper cites Image denoising by sparse 3- D transform-domain collaborative filtering.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Image denoising by sparse 3- D transform-domain collaborative filtering

Reference 6

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Improving lipschitz-constrained neural networks by learning activation functions

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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This paper cites Image denoising: The deep learning revolution and beyond—a survey paper.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Image denoising: The deep learning revolution and beyond—a survey paper

Reference 9

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction G., Athalye, C

Reference 10

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction A neural-network-based convex regularizer for inverse problems

Reference 11

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Learning weakly convex regularizers for convergent image-reconstruction algorithms

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Convolutional proximal neural networks and plug-and-play algorithms

Reference 13

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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This paper cites Gradient step denoiser for convergent plug-and-play.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Gradient step denoiser for convergent plug-and-play

Reference 15

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization

Reference 16

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Denoising diffusion restoration models

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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This paper cites Learning maximally monotone operators for image recovery.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Learning maximally monotone operators for image recovery

Reference 19

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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This paper cites The little engine that could: Regularization by Denoising ( RED ).

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction The little engine that could: Regularization by Denoising ( RED )

Reference 21

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction I., Osher, S., and Fatemi, E

Reference 22

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This paper cites Plug-and-play methods provably converge with properly trained denoisers.

Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Plug-and-play methods provably converge with properly trained denoisers

Reference 23

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction V., Wohlberg, B., Buzzard, G

Reference 24

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction N., Kaiser, L

Reference 25

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction V., Bouman, C

Reference 26

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction and Scaman, K

Reference 27

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Non-local neural networks

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Learning pseudo-contractive denoisers for inverse problems

Reference 29

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Learning cocoercive conservative denoisers via helmholtz decomposition for poisson imaging inverse problems

Reference 30

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Basis prediction networks for effective burst denoising with large kernels

Reference 31

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Beyond a G aussian denoiser: Residual learning of deep CNN for image denoising

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Learning deep cnn denoiser prior for image restoration

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Plug-and-play image restoration with deep denoiser prior

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Residual non-local attention networks for image restoration

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction 2015 , journal=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction 2014 , publisher=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Unresolved cited work

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction and Hunt, Bobby R

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Nature , volume=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction IEEE Trans

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , year=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction 2016 , publisher=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction Restormer:

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction , author=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction and Chaudhury, Kunal N

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction 2012 , publisher=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction On instabilities of deep learning in image reconstruction and the potential costs of

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction SIAM Review , volume=

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction IEEE Trans

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction IEEE Signal Process

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Trainable Nonexpansive Denoisers for Contractive Image Reconstruction The little engine that could:

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Pith citing papers