Deep Equilibrium Architectures for Inverse Problems in Imaging

16 February 2021

Papers citing "Deep Equilibrium Architectures for Inverse Problems in Imaging"

50 / 96 papers shown

Title
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers M. Unser Stanislas Ducotterd 35 0 0 24 Mar 2025
Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models Vineet Shenoy Suhas Lohit Hassan Mansour Rama Chellappa Tim K. Marks 41 0 0 21 Mar 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery Jyothi Rikhab Chand M. Jacob DiffM 38 0 0 21 Mar 2025
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks Long Chen Xianchao Xiu 79 0 0 28 Feb 2025
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction T. Bubba Matteo Santacesaria Andrea Sebastiani OOD 35 0 0 28 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 38 0 0 28 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 31 0 0 30 Oct 2024
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff Peimeng Guan Mark A. Davenport 16 0 0 18 Oct 2024
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks Brandon Knutson Amandin Chyba Rabeendran Michael I. Ivanitskiy Jordan Pettyjohn Cecilia G. Diniz Behn Samy Wu Fung Daniel McKenzie LRM 31 2 0 03 Oct 2024
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties Clemens Arndt Judith Nickel 23 0 0 20 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 24 2 0 23 Aug 2024
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers Mehrsa Pourya Sebastian Neumayer Michael Unser 29 0 0 09 Jul 2024
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang Xu Zhang Taihui Li Yuxiang Wan Tiancong Chen Ju Sun DiffM 19 11 0 27 May 2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training Edward P. Chandler S. Shoushtari Jiaming Liu M. Salman Asif Ulugbek S. Kamilov OOD 24 1 0 15 Mar 2024
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood 33 2 0 07 Mar 2024
Subhomogeneous Deep Equilibrium Models Pietro Sittoni Francesco Tudisco 19 0 0 01 Mar 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 27 0 0 19 Feb 2024
Positive concave deep equilibrium models Mateusz Gabor Tomasz Piotrowski Renato L. G. Cavalcante 21 2 0 06 Feb 2024
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures Zenan Ling Longbo Li Zhanbo Feng Yixuan Zhang Feng Zhou Robert C. Qiu Zhenyu Liao 30 4 0 05 Feb 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 10 1 0 03 Feb 2024
Low-resolution Prior Equilibrium Network for CT Reconstruction Yijie Yang Qifeng Gao Yuping Duan 16 0 0 28 Jan 2024
Fixed Point Diffusion Models Xingjian Bai Luke Melas-Kyriazi 13 3 0 16 Jan 2024
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy Mohammad Khateri Morteza Ghahremani Alejandra Sierra Jussi Tohka SupR 14 0 0 16 Jan 2024
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS) You-Ling Yu R. Dansereau 15 0 0 05 Jan 2024
Learned reconstruction methods for inverse problems: sample error estimates Luca Ratti 19 0 0 21 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) S. Liang Van Hoang Minh Nguyen Jinghan Jia Ismail R. Alkhouri Sijia Liu S. Ravishankar 16 1 0 12 Dec 2023
Local monotone operator learning using non-monotone operators: MnM-MOL Maneesh John Jyothi Rikabh Chand Mathews Jacob 11 1 0 01 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers M. Terris Thomas Moreau 19 0 0 30 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 19 3 0 15 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 10 0 0 03 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 44 12 0 28 Oct 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 23 11 0 22 Oct 2023
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction Weijie Gan Qiuchen Zhai Michael T. McCann Cristina Garcia Cardona Ulugbek S. Kamilov B. Wohlberg 27 4 0 11 Oct 2023
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis S. Shoushtari Jiaming Liu Edward P. Chandler M. Salman Asif Ulugbek S. Kamilov 19 3 0 29 Sep 2023
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI Chen Luo Huayu Wang Taofeng Xie Qiyu Jin Guoqing Chen Zhuoxu Cui Dong Liang 21 1 0 24 Sep 2023
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration Alper Gungor M. U. Bahçeci Yasin Ergen Ahmet Sozak O. O. Ekiz Tolga Yelboğa Tolga cCukur 19 0 0 20 Sep 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models Zalan Fabian Berk Tınaz Mahdi Soltanolkotabi DiffM 17 5 0 12 Sep 2023
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Andrew Zhang 19 5 0 26 Aug 2023
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems Iaroslav Koshelev Stamatios Lefkimmiatis 10 1 0 10 Aug 2023
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality Xiangyu Qu Yiheng Chi Stanley H. Chan 9 6 0 30 Jun 2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction F. Zimmermann C. Kolbitsch Patrick Schuenke A. Kofler 6 5 0 19 Jun 2023
An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees A. Gkillas D. Ampeliotis K. Berberidis 18 0 0 10 Jun 2023
Convergence analysis of equilibrium methods for inverse problems D. Obmann Markus Haltmeier 6 5 0 02 Jun 2023
Test like you Train in Implicit Deep Learning Zaccharie Ramzi Pierre Ablin Gabriel Peyré Thomas Moreau 24 3 0 24 May 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 13 11 0 22 May 2023
Lyapunov-Stable Deep Equilibrium Models Haoyu Chu Shikui Wei Ting Liu Yao-Min Zhao Yuto Miyatake AAML 18 1 0 25 Apr 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian V. Dalca Katherine L. Bouman 14 4 0 25 Apr 2023
Efficient Training of Deep Equilibrium Models Bac Nguyen Cong Lukas Mauch 13 0 0 23 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 23 3 0 17 Apr 2023