Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration

20 May 2018

Papers citing "Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration"

10 / 10 papers shown

Title
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 24 18 0 30 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 40 225 0 23 Mar 2021
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth Yiping Lu Chao Ma Yulong Lu Jianfeng Lu Lexing Ying MLT 39 78 0 11 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 21 103 0 22 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 31 999 0 22 Dec 2019
Deep Learning via Dynamical Systems: An Approximation Perspective Qianxiao Li Ting Lin Zuowei Shen AI4TS AI4CE 14 107 0 22 Dec 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 32 122 0 23 Jun 2019
Kindling the Darkness: A Practical Low-light Image Enhancer Yonghua Zhang Jiawan Zhang Xiaojie Guo 63 1,163 0 04 May 2019
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal Xiaoshuai Zhang Wenhan Yang Yueyu Hu Jiaying Liu 46 122 0 08 Jun 2018
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016