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"

5 / 5 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 62 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 17 46 0 18 Dec 2023
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
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior Metin Ersin Arican Ozgur Kara G. Bredell E. Konukoglu 20 17 0 27 Nov 2021
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 514 0 12 May 2020