ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution

19 October 2021

Papers citing "ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution"

9 / 9 papers shown

Title
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 87 1,124 0 22 Jul 2021
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness Wei Zhou Zhou Wang Zhibo Chen 21 32 0 15 May 2021
Revisiting Temporal Modeling for Video Super-resolution Takashi Isobe Fang Zhu Xu Jia Shengjin Wang SupR 19 87 0 13 Aug 2020
Image Quality Assessment: Unifying Structure and Texture Similarity Keyan Ding Kede Ma Shiqi Wang Eero P. Simoncelli 82 773 0 16 Apr 2020
Recurrent Back-Projection Network for Video Super-Resolution Muhammad Haris Gregory Shakhnarovich Norimichi Ukita SupR 47 433 0 25 Mar 2019
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution Yapeng Tian Yulun Zhang Y. Fu Chenliang Xu SupR 50 523 0 07 Dec 2018
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data Thomas Köhler M. Bätz Farzad Naderi Andre Kaup Andreas Maier Christian Riess SupR 43 25 0 17 Sep 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 297 11,610 0 11 Jan 2018
Learning a No-Reference Quality Metric for Single-Image Super-Resolution Chao Ma Chih-Yuan Yang Xiaokang Yang Ming-Hsuan Yang SupR 25 509 0 18 Dec 2016