AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Ignatov, Andrey; Timofte, Radu; Zhang, Zhilu; Liu, Ming; Wang, Haolin; Zuo, Wangmeng; Zhang, Jiawei; Zhang, Ruimao; Peng, Zhanglin; Ren, Sijie; Dai, Linhui; Liu, Xiaohong; Li, Chengqi; Chen, Jun; Ito, Yuichi; Vasudeva, Bhavya; Deora, Puneesh; Pal, Umapada; Guo, Zhenyu; Zhu, Yu; Liang, Tian; Li, Chenghua; Leng, Cong; Pan, Zhihong; Li, Baopu; Kim, Byunghoon; Song, Joonyoung; Chul Ye, Jong; Baek, Jaehyun; Zhussip, Magauiya; Koishekenov, Yeskendir; Cho Ye, Hwechul; Liu, Xin; Hu, Xueying; Jiang, Jun; Gu, Jinwei; Li, Kai; Tan, Pengliang; Hou, Bingxin

doi:10.48550/arxiv.2011.04994

Public

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Shared by NobleBlocks on Nov 10, 2020 • 12:00 AM UTC

Authors:

Andrey Ignatov

Radu Timofte

Zhilu Zhang

Abstract

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to-RGB mapping problem, where to goal was to map the original low-quality RAW images captured by the Huawei P20 device to ...

Subject

Pipeline (software)

Computer science

Demosaicing

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