Meta-Learning based Degradation Representation for Blind Super-Resolution

28 July 2022

Papers citing "Meta-Learning based Degradation Representation for Blind Super-Resolution"

7 / 7 papers shown

Title
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution Jiang Yuan Ji Ma Bo Wang Weiming Hu 30 0 0 10 Aug 2024
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution Long Peng Yang Cao Renjing Pei Wenbo Li Jiaming Guo Xueyang Fu Yang Wang Zheng-Jun Zha 29 12 0 11 May 2024
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr Martin Danelljan Radu Timofte Namhyuk Ahn Dongwoon Bai ... Tongtong Zhao Yuanbo Zhou Haijie Zhuo Ziyao Zong Xueyi Zou SupR 69 168 0 05 May 2020
Deep Unfolding Network for Image Super-Resolution K. Zhang Luc Van Gool Radu Timofte SupR 108 535 0 23 Mar 2020
Non-Local Recurrent Network for Image Restoration Ding Liu B. Wen Yuchen Fan Chen Change Loy Thomas S. Huang SupR 129 624 0 07 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017