Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

15 June 2010

Papers citing "Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity"

50 / 98 papers shown

Title
Riemannian Patch Assignment Gradient Flows Daniel Gonzalez-Alvarado Fabio Schlindwein Jonas Cassel Laura Steingruber Stefania Petra Christoph Schnörr 73 0 0 17 Apr 2025
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 140 11 0 10 Sep 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods Remi Laumont Yiqiu Dong Martin Skovgaard Andersen 43 1 0 24 Jun 2024
Gaussian mixtures closest to a given measure via optimal transport Jean-Bernard Lasserre OT 54 0 0 30 Apr 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 74 0 0 23 Feb 2024
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems Giovanni S. Alberti Luca Ratti Matteo Santacesaria Silvia Sciutto 44 1 0 29 Jan 2024
Big Learning Expectation Maximization Yulai Cong Sijia Li 63 2 0 19 Dec 2023
Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval Decheng Liu Xu Luo Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao 52 0 0 16 Dec 2023
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality Xiangyu Qu Yiheng Chi Stanley H. Chan 125 7 0 30 Jun 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 60 4 0 17 Apr 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 98 82 0 09 Jan 2023
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 84 6 0 25 Oct 2022
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 53 1 0 21 Oct 2022
Machine Learning based Discrimination for Excited State Promoted Readout Utkarsh Azad Helena Zhang 23 4 0 16 Oct 2022
Dancing under the stars: video denoising in starlight Kristina Monakhova Stephan R. Richter Laura Waller V. Koltun VGen 81 51 0 08 Apr 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 67 26 0 16 Jan 2022
A Weighted Generalized Coherence Approach for Sensing Matrix Design Ameya Anjarlekar Ajit V. Rajwade 134 0 0 06 Oct 2021
SNIPS: Solving Noisy Inverse Problems Stochastically Bahjat Kawar Gregory Vaksman Michael Elad 106 201 0 31 May 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 92 31 0 02 Mar 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution Bahjat Kawar Gregory Vaksman Michael Elad DiffM 87 64 0 23 Jan 2021
Evolutionary Variational Optimization of Generative Models Jakob Drefs E. Guiraud Jörg Lücke BDL DRL 59 7 0 22 Dec 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 76 3 0 27 Nov 2020
Semi-supervised Sparse Representation with Graph Regularization for Image Classification Hongfeng Li 14 0 0 11 Nov 2020
Regularization by Denoising via Fixed-Point Projection (RED-PRO) Regev Cohen Michael Elad P. Milanfar 94 109 0 01 Aug 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 119 535 0 12 May 2020
Convolutional Sparse Support Estimator Network (CSEN) From energy efficient support estimation to learning-aided Compressive Sensing Mehmet Yamaç Mete Ahishali S. Kiranyaz Moncef Gabbouj 39 10 0 02 Mar 2020
Learned SVD: solving inverse problems via hybrid autoencoding Y. Boink Christoph Brune 29 13 0 20 Dec 2019
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation Gregory Vaksman Michael Elad P. Milanfar AI4CE 42 0 0 17 Nov 2019
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images T. Ehret Axel Davy Pablo Arias Gabriele Facciolo 81 15 0 13 May 2019
Blind Visual Motif Removal from a Single Image Amir Hertz Sharon Fogel Rana Hanocka Raja Giryes Daniel Cohen-Or DiffM 120 32 0 04 Apr 2019
Joint group and residual sparse coding for image compressive sensing Lizhao Li Song Xiao 73 8 0 23 Jan 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 78 24 0 13 Jan 2019
Model-blind Video Denoising Via Frame-to-frame Training T. Ehret Axel Davy Jean-Michel Morel Gabriele Facciolo Pablo Arias 145 82 0 30 Nov 2018
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks Ashkan Abbasi A. Monadjemi Leyuan Fang H. Rabbani Yi Zhang SupR 58 20 0 22 Nov 2018
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement Risheng Liu Long Ma Yiyang Wang Lei Zhang 70 73 0 09 Oct 2018
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising Tal Remez Or Litany Raja Giryes A. Bronstein BDL 87 72 0 20 Aug 2018
Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding W. Dong Zhangxi Yan Guangming Shi Xin Li 70 3 0 18 Jul 2018
Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians Milad Niknejad J. Bioucas-Dias Mário A. T. Figueiredo 20 1 0 09 Jul 2018
Convolutional Sparse Coding for High Dynamic Range Imaging Ana Serrano Felix Heide Diego F. F. Gutierrez Gordon Wetzstein B. Masiá 49 98 0 13 Jun 2018
Classifying Antimicrobial and Multifunctional Peptides with Bayesian Network Models Rainier Barrett Shaoyi Jiang A. White 29 19 0 17 Apr 2018
Poisson Image Denoising Using Best Linear Prediction: A Post-processing Framework Milad Niknejad Mário A. T. Figueiredo DiffM 11 6 0 01 Mar 2018
Image denoising with generalized Gaussian mixture model patch priors Charles-Alban Deledalle Shibin Parameswaran Truong Thao Nguyen VLM 25 6 0 05 Feb 2018
Denoising Prior Driven Deep Neural Network for Image Restoration W. Dong Peiyao Wang W. Yin Guangming Shi Fangfang Wu Xiaotong Lu SupR 87 424 0 21 Jan 2018
Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging Afonso M. Teodoro J. Bioucas-Dias Mário A. T. Figueiredo 70 11 0 02 Jan 2018
BLADE: Filter Learning for General Purpose Computational Photography Pascal Getreuer Ignacio Garcia Dorado J. Isidoro Sungjoon Choi Frank Ong P. Milanfar 76 29 0 29 Nov 2017
Sliced Wasserstein Distance for Learning Gaussian Mixture Models Soheil Kolouri Gustavo K. Rohde Heiko Hoffmann 82 122 0 15 Nov 2017
Quantum transport senses community structure in networks Chenchao Zhao Jun S. Song 18 5 0 14 Nov 2017
$Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100$\times$ speed-up$ Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100 $\times$ speed-up Shibin Parameswaran Charles-Alban Deledalle L. Denis Truong Thao Nguyen 75 27 0 23 Oct 2017
Class-specific image denoising using importance sampling Milad Niknejad J. Bioucas-Dias Mário A. T. Figueiredo DiffM 65 8 0 21 Jun 2017