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"

50 / 51 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 31 0 0 10 May 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 50 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 74 5 0 21 Feb 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 50 0 0 28 Jan 2025
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 24 2 0 23 Aug 2024
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 23 3 0 19 Aug 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 53 0 0 18 Jul 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine L. Bouman DiffM 27 20 0 29 May 2024
Learning pseudo-contractive denoisers for inverse problems Deliang Wei Peng Chen Fang Li 22 4 0 08 Feb 2024
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers Chicago Park S. Shoushtari Weijie Gan Ulugbek S. Kamilov 8 0 0 30 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models Marien Renaud Jiaming Liu Valentin De Bortoli Andrés Almansa Ulugbek S. Kamilov 48 5 0 05 Oct 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems Samuel Hurault Ulugbek Kamilov Arthur Leclaire Nicolas Papadakis 16 10 0 06 Jun 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 18 11 0 22 May 2023
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing Wenjie Zhu Peijie Qiu Oana Dumitrascu Jacob Jacob Mohammad Farazi Zhangsihao Yang Keshav Nandakumar Yalin Wang MedIm 22 12 0 06 Feb 2023
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 11 26 0 22 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 22 2 0 06 Nov 2022
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 25 2 0 19 Oct 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration Yuma Koizumi Kohei Yatabe Heiga Zen M. Bacchiani DiffM 42 29 0 03 Oct 2022
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 25 1 0 06 Sep 2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors S. Shoushtari Jiaming Liu Yuyang Hu Ulugbek S. Kamilov 24 6 0 26 Jul 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 35 6 0 16 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 16 6 0 30 May 2022
Deep Generalized Unfolding Networks for Image Restoration Chong Mou Qian Wang Jian Zhang 26 182 0 28 Apr 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 21 15 0 13 Apr 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 19 8 0 10 Feb 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 45 19 0 18 Jan 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 17 25 0 16 Jan 2022
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 22 93 0 07 Oct 2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results Goutam Bhat Martin Danelljan Radu Timofte Kazutoshi Akita Wooyeong Cho ... Rao Muhammad Umer Youliang Yan Lei Yu Magauiya Zhussip X. Zou SupR 8 38 0 07 Jun 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 43 37 0 21 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 35 225 0 23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 21 109 0 08 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 38 180 0 16 Feb 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 19 5 0 12 Jan 2021
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision Risheng Liu Zhu Liu Pan Mu Xin-Yue Fan Zhongxuan Luo 12 5 0 10 Dec 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 28 14 0 16 Nov 2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors Yu Sun Jiaming Liu Yiran Sun B. Wohlberg Ulugbek S. Kamilov 22 15 0 03 Oct 2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo Qionghai Dai 11 178 0 30 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 15 103 0 22 Feb 2020
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser Sizhuo Liu E. T. Reehorst P. Schniter Rizwan Ahmad 15 3 0 08 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 26 996 0 22 Dec 2019
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 38 25 0 18 Oct 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 13 81 0 26 Jul 2019
Block Coordinate Regularization by Denoising Yu Sun Jiaming Liu Ulugbek S. Kamilov 30 82 0 13 May 2019
Deep Plug-and-play Prior for Low-rank Tensor Completion Xile Zhao Wen-Hao Xu Tai-Xiang Jiang Yao Wang Michael K. Ng 21 91 0 11 May 2019
Can learning from natural image denoising be used for seismic data interpolation? Hao Zhang Xiuyan Yang Jianwei Ma 13 70 0 27 Feb 2019