Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations

15 April 2020

Papers citing "Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations"

8 / 8 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
Multi-view reconstruction of bullet time effect based on improved NSFF model Linquan Yu Yan Gao Yang Yan Wentao Zeng 11 0 0 01 Apr 2023
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 24 8 0 14 Oct 2022
Variational Deep Image Restoration Jae Woong Soh N. Cho SupR 36 38 0 03 Jul 2022
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution Jie Liang Huiyu Zeng Lei Zhang SupR 23 86 0 27 Mar 2022
COMISR: Compression-Informed Video Super-Resolution Yinxiao Li Pengchong Jin Feng Yang Ce Liu Ming-Hsuan Yang P. Milanfar SupR 12 38 0 04 May 2021
$Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network$ Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network Ruicheng Feng Chongyi Li Huaijin Chen Shuai Li Chen Change Loy Jinwei Gu 24 47 0 19 Apr 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 183 5,138 0 16 Sep 2016