Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators

31 October 2019

Papers citing "Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators"

14 / 14 papers shown

Title
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 70 1 0 08 Apr 2024
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering Youwang Kim Tae-Hyun Oh Gerard Pons-Moll DiffM 19 47 0 18 Dec 2023
Unsupervised Superpixel Generation using Edge-Sparse Embedding Jakob Geusen G. Bredell Tianfei Zhou E. Konukoglu SupR 10 0 0 28 Nov 2022
Practical Phase Retrieval Using Double Deep Image Priors Zhong Zhuang David Yang F. Hofmann David A. Barmherzig Ju Sun 33 13 0 02 Nov 2022
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks Dave Van Veen Rogier van der Sluijs Batu Mehmet Ozturkler Arjun D Desai Christian Blüthgen ... Gordon Wetzstein David B. Lindell S. Vasanawala John M. Pauly Akshay S. Chaudhari SupR MedIm 23 7 0 17 Oct 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels Amnon Geifman Meirav Galun David Jacobs Ronen Basri 30 13 0 17 Mar 2022
Image-to-Image MLP-mixer for Image Reconstruction Youssef Mansour Kang Lin Reinhard Heckel SupR 31 15 0 04 Feb 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 23 63 0 11 Dec 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior Metin Ersin Arican Ozgur Kara G. Bredell E. Konukoglu 27 17 0 27 Nov 2021
Untrained Graph Neural Networks for Denoising Samuel Rey Santiago Segarra Reinhard Heckel A. Marques 32 28 0 24 Sep 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
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 520 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
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 29 186 0 10 Mar 2020