Finding Discriminative Filters for Specific Degradations in Blind
Super-Resolution

Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution

2 August 2021

Ying Shan

Papers citing "Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution"

11 / 11 papers shown

Title
Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining Jinfan Hu Zhiyuan You Jinjin Gu Kaiwen Zhu Tianfan Xue Chao Dong 50 0 0 18 Feb 2025
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity Jingbo Lin Zhilu Zhang W. J. Li Renjing Pei Hang Xu Hongzhi Zhang Wangmeng Zuo 47 0 0 28 Dec 2024
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 50 2 0 29 Jul 2024
Prompt-In-Prompt Learning for Universal Image Restoration Zilong Li Yiming Lei Chenglong Ma Junping Zhang Hongming Shan VLM 50 25 0 08 Dec 2023
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining Jinjin Gu Xianzheng Ma Xiangtao Kong Yu Qiao Chao Dong 30 12 0 24 May 2023
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization Xintao Wang Chao Dong Ying Shan 29 48 0 11 May 2022
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds Wenlong Zhang Guangyuan Shi Yihao Liu Chao Dong Xiao-Ming Wu 30 22 0 10 May 2022
Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong ViT 86 603 0 09 May 2022
Deep Unfolding Network for Image Super-Resolution Peng Sun Luc Van Gool Radu Timofte SupR 121 539 0 23 Mar 2020
Non-Local Recurrent Network for Image Restoration Ding Liu Bihan Wen Yuchen Fan Chen Change Loy Thomas S. Huang SupR 140 628 0 07 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016