ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

30 May 2022

Papers citing "ShuffleMixer: An Efficient ConvNet for Image Super-Resolution"

8 / 8 papers shown

Title
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing Seongmin Hwang Daeyoung Han Cheolkon Jung Moongu Jeon 70 5 0 20 Jan 2025
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model Y. Huang Tomo Miyazaki Xiaofeng Liu S. Omachi Mamba 48 3 0 16 May 2024
Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer Y. Huang Tomo Miyazaki Xiaofeng Liu Kaiyuan Jiang Zhengmi Tang S. Omachi MedIm 24 1 0 27 Dec 2023
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 400 0 24 Jan 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 189 1,200 0 05 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,592 0 04 May 2021
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 66 862 0 26 Sep 2019
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 190 5,163 0 16 Sep 2016