Learning pseudo-contractive denoisers for inverse problems

8 February 2024

Papers citing "Learning pseudo-contractive denoisers for inverse problems"

7 / 7 papers shown

Title
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems Deliang Wei Peng Chen Haobo Xu Jiale Yao Fang Li Tieyong Zeng 19 0 0 13 May 2025
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 61 0 0 18 Jul 2024
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu Kaicheng Zhang Christos Sakaridis Jingyun Liang B. Wen Radu Timofte Luc Van Gool DiffM 69 200 0 15 May 2023
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels Charles Laroche Andrés Almansa Eva Coupeté Matias Tassano 29 2 0 19 Oct 2022
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration Mikael Le Pendu C. Guillemot 25 17 0 01 Oct 2021
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 56 214 0 06 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 345 75,888 0 18 May 2015