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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

09/25/2020
by   Pengxu Wei, et al.
HUAWEI Technologies Co., Ltd.
NetEase, Inc.
Los Alamos National Laboratory
Microsoft
Université Libre de Bruxelles
ETH Zurich
Harbin Institute of Technology
Guangdong University of Technology
IEEE
Tencent QQ
Hong Kong Polytechnic University
inceptioniai.org
Baidu, Inc.
USTC
NetEase, Inc
SUN YAT-SEN UNIVERSITY
7

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for ×2, ×3 and ×4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

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