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pro vyhledávání: '"Kang, Byungyeon"'
Autor:
Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S., Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
http://arxiv.org/abs/2105.03072
In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task. Perceptual representation becomes more important in image quality as
Externí odkaz:
http://arxiv.org/abs/2104.14730
Autor:
Yuan, Shanxin, Timofte, Radu, Leonardis, Ales, Slabaugh, Gregory, Luo, Xiaotong, Zhang, Jiangtao, Qu, Yanyun, Hong, Ming, Xie, Yuan, Li, Cuihua, Xu, Dejia, Chu, Yihao, Sun, Qingyan, Liu, Shuai, Zong, Ziyao, Nan, Nan, Li, Chenghua, Kim, Sangmin, Nam, Hyungjoon, Kim, Jisu, Jeong, Jechang, Cheon, Manri, Yoon, Sung-Jun, Kang, Byungyeon, Lee, Junwoo, Zheng, Bolun, Liu, Xiaohong, Dai, Linhui, Chen, Jun, Cheng, Xi, Fu, Zhenyong, Yang, Jian, Lee, Chul, Vien, An Gia, Park, Hyunkook, Nathan, Sabari, Beham, M. Parisa, Roomi, S Mohamed Mansoor, Lemarchand, Florian, Pelcat, Maxime, Nogues, Erwan, Puthussery, Densen, S, Hrishikesh P, C V, Jiji, Sinha, Ashish, Zhao, Xuan
Publikováno v:
CVPRW 2020
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire patterns from an image to
Externí odkaz:
http://arxiv.org/abs/2005.03155