Super-Resolution using Convolutional Neural Networks without Any
Checkerboard Artifacts

Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts

7 June 2018

Hitoshi Kiya

Papers citing "Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts"

7 / 7 papers shown

Title
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss Ke Wang Jonathan I. Tamir A. D. Goyeneche U. Wollner R. Brada Stella X. Yu Michael Lustig 15 18 0 27 Aug 2021
Fake-image detection with Robust Hashing Miki Tanaka Hitoshi Kiya 21 8 0 02 Feb 2021
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection Takayuki Osakabe Miki Tanaka Yuma Kinoshita Hitoshi Kiya 20 13 0 01 Dec 2020
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad Radu Timofte Ohad Ben-Shahar Yi Lin G. Finlayson Shai Givati Mohamed H. Sedky 54 122 0 07 May 2020
MXR-U-Nets for Real Time Hyperspectral Reconstruction Atmadeep Banerjee Akash Palrecha SupR 25 11 0 15 Apr 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs Yuma Kinoshita Hitoshi Kiya 28 19 0 06 Feb 2020
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 198 5,176 0 16 Sep 2016