KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment

15 December 2020

Papers citing "KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment"

6 / 6 papers shown

Title
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation H. Ateş S. Yildirim B. Gunturk SupR 20 16 0 25 Apr 2024
End-to-end Alternating Optimization for Real-World Blind Super Resolution Zhengxiong Luo Yan Huang Shang Li Liangsheng Wang Tien-Ping Tan SupR 22 14 0 17 Aug 2023
Image Super-resolution with An Enhanced Group Convolutional Neural Network Chunwei Tian Yixuan Yuan Shichao Zhang Chia-Wen Lin W. Zuo David C. Zhang SupR 15 95 0 29 May 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
Synthetic Depth-of-Field with a Single-Camera Mobile Phone Neal Wadhwa Rahul Garg David E. Jacobs Bryan E. Feldman Nori Kanazawa Robert E. Carroll Yair Movshovitz-Attias Jonathan T. Barron Yael Pritch M. Levoy 3DH MDE 177 176 0 11 Jun 2018
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 186 5,138 0 16 Sep 2016