Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

14 May 2019

Papers citing "Plug-and-Play Methods Provably Converge with Properly Trained Denoisers"

45 / 45 papers shown

Title
Approximation theory for 1-Lipschitz ResNets Davide Murari Takashi Furuya Carola-Bibiane Schönlieb 72 0 0 17 May 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 147 0 0 03 Apr 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 139 5 0 21 Feb 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 119 0 0 28 Jan 2025
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Shuo Li Mehrdad Yaghoobi 119 0 0 14 Jan 2025
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 86 2 0 23 Aug 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 96 0 0 18 Jul 2024
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 88 5 0 05 Oct 2023
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM Ruturaj G. Gavaskar K. Chaudhury 60 13 0 31 Oct 2019
Plug-In Stochastic Gradient Method Yu Sun B. Wohlberg Ulugbek S. Kamilov BDL 29 4 0 08 Nov 2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm Yu Sun Shiqi Xu Yunzhe Li Lei Tian B. Wohlberg Ulugbek S. Kamilov 56 44 0 31 Oct 2018
Neural Nearest Neighbors Networks Tobias Plötz Stefan Roth 73 340 0 30 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 82 188 0 22 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 271 5,404 0 28 Sep 2018
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction Yu Sun B. Wohlberg Ulugbek S. Kamilov 45 209 0 12 Sep 2018
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective Stanley H. Chan 47 58 0 31 Aug 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds Xiaohan Chen Jialin Liu Zhangyang Wang W. Yin 75 235 0 29 Aug 2018
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust Chris Finlay Jeff Calder Bilal Abbasi Adam M. Oberman 58 55 0 28 Aug 2018
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 100 221 0 06 Jun 2018
Multi-level Wavelet-CNN for Image Restoration Pengju Liu Hongzhi Zhang Peng Sun Liang Lin W. Zuo SupR 65 651 0 18 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 172 481 0 12 Apr 2018
L2-Nonexpansive Neural Networks Haifeng Qian M. Wegman 47 74 0 22 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 164 4,445 0 16 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 105 309 0 12 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 83 468 0 31 Jan 2018
Denoising Prior Driven Deep Neural Network for Image Restoration W. Dong Peiyao Wang W. Yin Guangming Shi Fangfang Wu Xiaotong Lu SupR 67 424 0 21 Jan 2018
InverseNet: Solving Inverse Problems with Splitting Networks Kai Fan Qinglai Wei Wenlin Wang Amit Chakraborty Katherine A. Heller 62 8 0 01 Dec 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 128 2,127 0 11 Oct 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 212 1,225 0 26 Jun 2017
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium G. Buzzard Stanley H. Chan S. Sreehari Charles A. Bouman 79 186 0 24 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 67 286 0 21 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 66 356 0 11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 152 1,847 0 11 Apr 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 65 348 0 29 Mar 2017
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy S. Sreehari S. Venkatakrishnan Katherine Bouman Jeff P. Simmons L. Drummy Charles A. Bouman 41 32 0 28 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 95 805 0 09 Nov 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 145 7,016 0 13 Aug 2016
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications Stanley H. Chan Xiran Wang Omar A. Elgendy 72 770 0 05 May 2016
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors Afonso M. Teodoro J. Bioucas-Dias Mário A. T. Figueiredo 63 77 0 12 Feb 2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation S. Sreehari S. Venkatakrishnan B. Wohlberg L. Drummy Jeff P. Simmons Charles A. Bouman 83 343 0 23 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Poisson Inverse Problems by the Plug-and-Play scheme A. Rond Raja Giryes Michael Elad 78 130 0 08 Nov 2015
Postprocessing of Compressed Images via Sequential Denoising Yehuda Dar A. Bruckstein Michael Elad Raja Giryes 61 74 0 30 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
From Denoising to Compressed Sensing Christopher A. Metzler A. Maleki Richard G. Baraniuk 102 618 0 16 Jun 2014