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Picture for Michael Elad

BIGRoC: Boosting Image Generation via a Robust Classifier


Aug 08, 2021
Roy Ganz, Michael Elad


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SNIPS: Solving Noisy Inverse Problems Stochastically


May 31, 2021
Bahjat Kawar, Gregory Vaksman, Michael Elad


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Improved Image Generation via Sparse Modeling


Apr 01, 2021
Roy Ganz, Michael Elad


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Patch Craft: Video Denoising by Deep Modeling and Patch Matching


Mar 25, 2021
Gregory Vaksman, Michael Elad, Peyman Milanfar


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High Perceptual Quality Image Denoising with a Posterior Sampling CGAN


Mar 17, 2021
Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar


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Stochastic Image Denoising by Sampling from the Posterior Distribution


Jan 23, 2021
Bahjat Kawar, Gregory Vaksman, Michael Elad


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Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond


Oct 20, 2020
Rajaei Khatib, Dror Simon, Michael Elad


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The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study


Aug 03, 2020
Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar


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Regularization by Denoising via Fixed-Point Projection (RED-PRO)


Aug 01, 2020
Regev Cohen, Michael Elad, Peyman Milanfar

* 34 Pages, 6 figures, 9 tables 

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When and How Can Deep Generative Models be Inverted?


Jun 28, 2020
Aviad Aberdam, Dror Simon, Michael Elad


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Ada-LISTA: Learned Solvers Adaptive to Varying Models


Feb 19, 2020
Aviad Aberdam, Alona Golts, Michael Elad


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Better Compression with Deep Pre-Editing


Feb 01, 2020
Hossein Talebi, Damien Kelly, Xiyang Luo, Ignacio Garcia Dorado, Feng Yang, Peyman Milanfar, Michael Elad


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Low-Weight and Learnable Image Denoising


Nov 17, 2019
Gregory Vaksman, Michael Elad, Peyman Milanfar


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Deep K-SVD Denoising


Sep 28, 2019
Meyer Scetbon, Michael Elad, Peyman Milanfar


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Rethinking the CSC Model for Natural Images


Sep 12, 2019
Dror Simon, Michael Elad


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DeepRED: Deep Image Prior Powered by RED


Mar 25, 2019
Gary Mataev, Michael Elad, Peyman Milanfar


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Unsupervised Single Image Dehazing Using Dark Channel Prior Loss


Dec 06, 2018
Alona Golts, Daniel Freedman, Michael Elad


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A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model


Nov 01, 2018
Ev Zisselman, Jeremias Sulam, Michael Elad

* 13 pages, 10 figures 

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MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance


Oct 22, 2018
Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad


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On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks


Aug 05, 2018
Jeremias Sulam, Aviad Aberdam, Michael Elad


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Multi-Layer Sparse Coding: The Holistic Way


Jul 25, 2018
Aviad Aberdam, Jeremias Sulam, Michael Elad


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Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning


Jun 30, 2018
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad

* IEEE Transactions on Signal Processing, vol. 66, no. 15, pp. 4090-4104, Aug.1, 1 2018 

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Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals


Jun 14, 2018
Yael Yankelevsky, Michael Elad


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Deep Energy: Using Energy Functions for Unsupervised Training of DNNs


May 31, 2018
Alona Golts, Daniel Freedman, Michael Elad

* Submitted to NIPS 2018 

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Classification Stability for Sparse-Modeled Signals


May 29, 2018
Yaniv Romano, Michael Elad


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Acceleration of RED via Vector Extrapolation


May 06, 2018
Tao Hong, Yaniv Romano, Michael Elad

* 5 figures, 2 tables 

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The Little Engine that Could: Regularization by Denoising (RED)


Sep 03, 2017
Yaniv Romano, Michael Elad, Peyman Milanfar


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