Robustness and Exploration of Variational and Machine Learning
Approaches to Inverse Problems: An Overview

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview

19 February 2024

Alexander Auras

Kanchana Vaishnavi Gandikota

Michael Moeller

Papers citing "Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview"

17 / 17 papers shown

Title
Text-guided Explorable Image Super-resolution Kanchana Vaishnavi Gandikota Paramanand Chandramouli 32 7 0 02 Mar 2024
Evaluating Adversarial Robustness of Low dose CT Recovery Kanchana Vaishnavi Gandikota Paramanand Chandramouli Hannah Dröge Michael Moeller OOD AAML 16 3 0 18 Feb 2024
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu K. Zhang Jingyun Liang Jiezhang Cao B. Wen Radu Timofte Luc Van Gool DiffM 58 193 0 15 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 74 85 0 23 Apr 2023
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model Jun-Hao Hu S. Shoushtari Zihao Zou Jiaming Liu Zhixin Sun Ulugbek S. Kamilov 32 4 0 01 Nov 2022
On Adversarial Robustness of Deep Image Deblurring Kanchana Vaishnavi Gandikota Paramanand Chandramouli Michael Moeller 31 11 0 05 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 16 29 0 29 Jun 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 174 82 0 15 Feb 2021
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms Yanna Bai Wei-Neng Chen Jie Chen Weisi Guo 21 64 0 27 Jul 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 56 36 0 18 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 180 536 0 08 Mar 2020
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 54 211 0 06 Jun 2018
Learning Deep Gradient Descent Optimization for Image Deconvolution Dong Gong Zhen Zhang Javen Qinfeng Shi Anton van den Hengel Chunhua Shen Yanning Zhang 52 81 0 10 Apr 2018
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 166 596 0 22 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015