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

Paper Info

Title
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

Abstract
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. For training, only one set of source input images is therefore provided along with a set of unpaired high-quality target images. In Track 1: Image Processing artifacts, the aim is to super-resolve images with synthetically generated image processing artifacts. This allows for quantitative benchmarking of the approaches \wrt a ground-truth image. In Track 2: Smartphone Images, real low-quality smart phone images have to be super-resolved. In both tracks, the ultimate goal is to achieve the best perceptual quality, evaluated using a human study. This is the second challenge on the subject, following AIM 2019, targeting to advance the state-of-the-art in super-resolution. To measure the performance we use the benchmark protocol from AIM 2019. In total 22 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem.

Authors (46 rows)

Cited by (2 rows)

References (0 rows)

Name	Order	Citations	PageRank
Andreas Lugmayr	1	7	1.10
Danelljan Martin	2	1344	49.35
Radu Timofte	3	1880	118.45
Namhyuk Ahn	4	6	3.13
Dongwoon Bai	5	164	15.97
Jie Cai	6	57	4.77
Yun Cao	7	2	0.37
Junyang Chen	8	38	6.68
Kaihua Cheng	9	3	0.76
Se Young Chun	10	72	18.18
Wei Deng	11	2	0.70
El-Khamy Mostafa	12	264	28.10
Man Ho Chiu	13	2	0.37
Xiaozhong Ji	14	3	2.06
Amin Kheradmand	15	58	3.84
Gwantae Kim	16	4	1.45
Hanseok Ko	17	421	80.24
Kanghyu Lee	18	4	1.41
Jungwon Lee	19	890	95.15
Hao Li	20	3	0.76
Ziluan Liu	21	5	0.75
Zhi-Song Liu	22	12	4.61
Shuai Liu	23	2	1.04
Yunhua Lu	24	2	0.37
Zibo Meng	25	248	13.60
Pablo Navarrete Michelini	26	12	4.45
C. Micheloni	27	934	62.52
Kalpesh Prajapati	28	2	0.37
Haoyu Ren	29	50	7.81
Hyeok Seo Yong	30	2	0.37
Chiu Man Ho	31	2	1.04
Kyung-Ah Sohn	32	2	0.70
Ying Tai	33	213	25.74
Muhammad Umer Rao	34	2	0.37
Shuangquan Wang	35	2	1.04
Huibing Wang	36	3	0.72
Haoning Wu Timothy	37	2	0.37
Haoning Wu	38	3	0.76
Biao Yang	39	2	0.37
Fuzhi Yang	40	2	0.37
Jae Jun Yoo	41	157	9.48
Tongtong Zhao	42	6	1.87
Yuanbo Zhou	43	3	0.76
Haijie Zhuo	44	2	0.37
Ziyao Zong	45	2	0.37
Xueyi Zou	46	19	2.88