Title
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
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 the same photos obtained with the Canon 5D DSLR camera. The considered task embraced a number of complex computer vision subtasks, such as image demosaicing, denoising, white balancing, color and contrast correction, demoireing, etc. The target metric used in this challenge combined fidelity scores (PSNR and SSIM) with solutions' perceptual results measured in a user study. The proposed solutions significantly improved the baseline results, defining the state-of-the-art for practical image signal processing pipeline modeling.
Year
DOI
Venue
2020
10.1007/978-3-030-67070-2_9
ECCV Workshops
DocType
Citations 
PageRank 
Conference
1
0.37
References 
Authors
0
39
Name
Order
Citations
PageRank
Andrey Ignatov1306.66
Radu Timofte21880118.45
Zhilu Zhang311.38
Ming Liu4132.98
Haolin Wang510.70
Wangmeng Zuo63833173.11
Jiawei Zhang710.70
Ruimao Zhang832518.86
Zhanglin Peng9264.43
Sijie Ren1010.37
Linhui Dai1110.37
Xiaohong Liu12114.33
Chengqi Li1310.70
Jun Chen1473094.14
Yuichi Ito1510.37
Bhavya Vasudeva1611.04
Puneesh Deora1711.38
Umapada Pal181477139.32
Zhenyu Guo1910.37
Yu Zhu206512.88
Tian Liang2110.37
Chenghua Li2261.84
Cong Leng2324113.20
Zhihong Pan2432.80
Baopu Li2510.37
Byung-Hoon Kim2610.70
Young-Joon Song2721.74
Jong Chul Ye28792.41
JaeHyun Baek2931.12
Magauiya Zhussip3040.75
Yeskendir Koishekenov3110.37
Hwechul Cho Ye3210.37
Xin Liu3311.04
Xueying Hu3410.37
Jun Jiang3510.37
Jinwei Gu3610.37
Kai Li3710.37
Pengliang Tan3810.37
Bingxin Hou3911.04