Revisiting Image Deblurring with an Efficient ConvNet

Revisiting Image Deblurring with an Efficient ConvNet

4 February 2023

Hans-peter Seidel

Papers citing "Revisiting Image Deblurring with an Efficient ConvNet"

9 / 9 papers shown

Title
F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring Subhajit Paul Sahil Kumawat Ashutosh Gupta Deepak Mishra 24 2 0 03 Sep 2024
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 400 0 24 Jan 2022
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
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 119 1,444 0 04 Feb 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,531 0 11 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,427 0 04 Jan 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016
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