Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

2 October 2018

Papers citing "Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks"

50 / 52 papers shown

Title
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration Suraj Singh Anastasia Batsheva Oleg Y. Rogov Ahmed Bouridane 46 0 0 20 Mar 2025
Probabilistic Joint Recovery Method for CO $_2$ Plume Monitoring Zijun Deng Rafael Orozco A. Gahlot Felix J. Herrmann 120 0 0 30 Jan 2025
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 64 12 0 13 Mar 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 34 3 0 12 Dec 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 33 5 0 05 Aug 2023
Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression Jinglei Shi Yihong Xu C. Guillemot 24 6 0 12 Jul 2023
Learning-based Spatial and Angular Information Separation for Light Field Compression Jinglei Shi Yihong Xu C. Guillemot 21 0 0 13 Apr 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine Bouman 29 5 0 12 Apr 2023
Image Reconstruction without Explicit Priors Angela F. Gao Oscar Leong He Sun Katherine Bouman 16 8 0 21 Mar 2023
Compressive Sensing with Tensorized Autoencoder Rakib Hyder M. Salman Asif 18 0 0 10 Mar 2023
Unsupervised Superpixel Generation using Edge-Sparse Embedding Jakob Geusen G. Bredell Tianfei Zhou E. Konukoglu SupR 10 0 0 28 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 18 5 0 18 Sep 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography Xiwen Chen Hongya Wang Abofazl Razi M. Kozicki C. Mann DiffM 19 1 0 25 May 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 21 1 0 24 Apr 2022
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors Vishwanath Saragadam Randall Balestriero Ashok Veeraraghavan Richard G. Baraniuk 27 15 0 07 Apr 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian V. Dalca M. Sabuncu 38 8 0 22 Feb 2022
Image-to-Image MLP-mixer for Image Reconstruction Youssef Mansour Kang Lin Reinhard Heckel SupR 31 15 0 04 Feb 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 29 5 0 29 Jan 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 26 63 0 11 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 39 19 0 23 Nov 2021
Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media Babak Rahmani D. Psaltis C. Moser VGen DRL 21 1 0 25 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 35 9 0 14 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 40 21 0 10 Oct 2021
Untrained Graph Neural Networks for Denoising Samuel Rey Santiago Segarra Reinhard Heckel A. Marques 32 28 0 24 Sep 2021
Thermal Image Processing via Physics-Inspired Deep Networks Vishwanath Saragadam Akshat Dave Ashok Veeraraghavan Richard Baraniuk AI4CE 19 15 0 18 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior Prithvijit Chakrabarty Pascal Mettes Subhransu Maji Cees G. M. Snoek 13 60 0 02 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 35 39 0 23 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective Lei Chu Hao Pan Wenping Wang 3DPC 34 11 0 19 Apr 2021
Generator Surgery for Compressed Sensing Niklas Smedemark-Margulies Jung Yeon Park Max Daniels Rose Yu Jan-Willem van de Meent Paul Hand GAN MedIm 26 6 0 22 Feb 2021
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 16 0 0 13 Oct 2020
mpNet: variable depth unfolded neural network for massive MIMO channel estimation Taha Yassine Luc Le Magoarou 11 25 0 07 Aug 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 15 17 0 03 Aug 2020
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network Boyun Li Yuanbiao Gou Shuhang Gu Jerry Liu Qiufeng Wang Xi Peng 15 197 0 30 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 520 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 6 79 0 07 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder Max Daniels Paul Hand Reinhard Heckel GAN 25 2 0 23 Jan 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 35 81 0 31 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap C. Hegde 26 70 0 20 Jun 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 23 146 0 28 May 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 42 7 0 18 Apr 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 33 17 0 05 Apr 2019
DeepRED: Deep Image Prior Powered by RED G. Mataev Michael Elad P. Milanfar SupR 23 191 0 25 Mar 2019