A Comprehensive Review of Deep Learning-based Single Image Super-resolution

18 February 2021

Papers citing "A Comprehensive Review of Deep Learning-based Single Image Super-resolution"

7 / 7 papers shown

Title
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion Zihao Xu Yuzhi Tang Bowen Xu Qingquan Li DiffM 50 0 0 20 Jan 2025
OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution Rishav Bhardwaj J. Balaji Vasudevan Lakshminarayanan SupR 11 0 0 09 Nov 2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel 17 13 0 04 Apr 2023
Multi-Modality Image Super-Resolution using Generative Adversarial Networks Aref Abedjooy Mehran Ebrahimi GAN 13 5 0 18 Jun 2022
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy D. Ravì A. Szczotka Stephen P. Pereira Tom Kamiel Magda Vercauteren SupR MedIm 19 49 0 21 Jan 2019
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
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