On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

16 August 2018

Papers citing "On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems"

8 / 8 papers shown

Title
Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond Guanyao Wu Haoyu Liu Hongming Fu Yichuan Peng Jinyuan Liu Xin-Yue Fan Risheng Liu 66 0 0 03 Mar 2025
Value-Function-based Sequential Minimization for Bi-level Optimization Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 32 30 0 11 Oct 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 13 79 0 15 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 38 225 0 23 Mar 2021
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision Risheng Liu Zhu Liu Pan Mu Xin-Yue Fan Zhongxuan Luo 15 5 0 10 Dec 2020
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond Risheng Liu Zi Li Xin-Yue Fan Chenying Zhao Hao Huang Zhongxuan Luo 3DH 11 32 0 30 Apr 2020
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 38 25 0 18 Oct 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 29 122 0 23 Jun 2019