Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging

15 November 2023

Papers citing "Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging"

8 / 8 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 57 1 0 08 Apr 2024
Provably Convergent Plug-and-Play Quasi-Newton Methods Hongwei Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 26 13 0 09 Mar 2023
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 40 37 0 21 Apr 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 174 82 0 15 Feb 2021
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images Tao Huang Songjiang Li Xu Jia Huchuan Lu Jian-zhuo Liu 62 284 0 08 Jan 2021
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 51 211 0 06 Jun 2018
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 166 596 0 22 Sep 2016