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"

14 / 14 papers shown

Title
Probabilistic Joint Recovery Method for CO $_2$ Plume Monitoring Zijun Deng Rafael Orozco A. Gahlot Felix J. Herrmann 105 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 51 9 0 13 Mar 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 15 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 14 4 0 05 Aug 2023
Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression Jinglei Shi Yihong Xu C. Guillemot 13 5 0 12 Jul 2023
Learning-based Spatial and Angular Information Separation for Light Field Compression Jinglei Shi Yihong Xu C. Guillemot 18 0 0 13 Apr 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine L. Bouman 16 5 0 12 Apr 2023
Image Reconstruction without Explicit Priors Angela F. Gao Oscar Leong He Sun Katherine L. Bouman 6 8 0 21 Mar 2023
Compressive Sensing with Tensorized Autoencoder Rakib Hyder M. Salman Asif 11 0 0 10 Mar 2023
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 16 1 0 24 Apr 2022
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 26 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 10 1 0 25 Oct 2021
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 22 80 0 31 Oct 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 22 17 0 05 Apr 2019