Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal

15 September 2020

Papers citing "Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal"

6 / 6 papers shown

Title
Multi-Modality Deep Network for JPEG Artifacts Reduction Xuhao Jiang Weimin Tan Qing Lin Chenxi Ma Bo Yan Liquan Shen 38 2 0 04 May 2023
Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal Xuhao Jiang Weimin Tan Ri Cheng Shili Zhou Bo Yan ViT 11 6 0 15 Jul 2022
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression Nikolina Kubiak Simon Hadfield 21 3 0 22 Sep 2021
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions Masanori Suganuma Xing Liu Takayuki Okatani 77 82 0 03 Dec 2018
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal Xiaoshuai Zhang Wenhan Yang Yueyu Hu Jiaying Liu 38 122 0 08 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 190 5,173 0 16 Sep 2016