Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Cheon, Manri"'
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:
Cheon, Manri, Vigier, Toinon, Krasula, Lukáš, Lee, Junghyuk, Callet, Patrick Le, Lee, Jong-Seok
Publikováno v:
Signal Processing: Image Communication (2021)
Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible that the metrics produce different quality scores even for two images tha
Externí odkaz:
http://arxiv.org/abs/2101.07439
Over the last few years, the performance of inpainting to fill missing regions has shown significant improvements by using deep neural networks. Most of inpainting work create a visually plausible structure and texture, however, due to them often gen
Externí odkaz:
http://arxiv.org/abs/2012.04242
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
In recent years, single image super-resolution (SR) methods based on deep convolutional neural networks (CNNs) have made significant progress. However, due to the non-adaptive nature of the convolution operation, they cannot adapt to various characte
Externí odkaz:
http://arxiv.org/abs/1811.12043
Recently, several deep learning-based image super-resolution methods have been developed by stacking massive numbers of layers. However, this leads too large model sizes and high computational complexities, thus some recursive parameter-sharing metho
Externí odkaz:
http://arxiv.org/abs/1811.12546
Recently, it has been shown that in super-resolution, there exists a tradeoff relationship between the quantitative and perceptual quality of super-resolved images, which correspond to the similarity to the ground-truth images and the naturalness, re
Externí odkaz:
http://arxiv.org/abs/1809.04789
In this paper, we propose a deep generative adversarial network for super-resolution considering the trade-off between perception and distortion. Based on good performance of a recently developed model for super-resolution, i.e., deep residual networ
Externí odkaz:
http://arxiv.org/abs/1809.04783
Impact of Three-Dimensional Video Scalability on Multi-View Activity Recognition using Deep Learning
Human activity recognition is one of the important research topics in computer vision and video understanding. It is often assumed that high quality video sequences are available for recognition. However, relaxing such a requirement and implementing
Externí odkaz:
http://arxiv.org/abs/1709.10206