NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Autor: Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wul, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Publikováno v: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4b7616ca574d79a1b121e0491dc3239
https://doi.org/10.1109/cvprw56347.2022.00118

NTIRE 2021 Learning the Super-Resolution Space Challenge

Autor: Qingrui Han, Kalpesh Prajapati, Younghyun Jo, Yang Chen, Shangqi Gao, Nan Nan, Junkai Zhang, Chenghua Li, Chao Huang, Kun Gao, Donghee Son, Younggeun Kim, Xinhua Xu, Christoph Busch, Shichong Peng, Vishal Chudasama, Liting Zhang, Zhenzhou Zhang, Raghavendra Ramachandra, Laiyun Gong, Ruipeng Gang, Zhi Jin, Chu-Tak Li, Kiran B. Raja, Ke Li, Huanrong Zhang, Hangqi Zhou, Heena Patel, Kishor P. Upla, Jian Cheng, Ruixia Song, Jiaxin Zou, Seungjun Lee, Martin Danelljan, Yatian Wang, Haoran Qi, Radu Timofte, Yifan Zhang, Sejong Yang, Youming Liu, Seung-Ho Park, Junwei Wang, Zhen Yuan, Andreas Lugmayr, Xiahai Zhuang, Yuchen Lei, Qianyu Wu, Zhi-Song Liu, Aichun Zhu, Seon Joo Kim, Li-Wen Wang, Wan-Chi Siu

Publikováno v: CVPR Workshops

This paper reviews the NTIRE 2021 challenge on learning the super-Resolution space. It focuses on the participating methods and final results. The challenge addresses the problem of learning a model capable of predicting the space of plausible super-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cbc3ab5db0167cfcc8022e1b8e2c62b
https://doi.org/10.1109/cvprw53098.2021.00072

HDTV1080p HEVC Intra encoder with source texture based CU/PU mode pre-decision

Autor: Zhenyu Liu, Dongsheng Wang, Jia Zhu, Yang Song, Qingrui Han

Publikováno v: ASP-DAC

HEVC doubles the coding efficiency with more than 4x coding complexity as compared to H.264/AVC. To alleviate the burden of Intra encoder, we estimate the RD-cost from the source image textures, and dynamically select two promising CU/PU mode candida

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb25d7fb28f158f5570fb81fd2ccdc4a
https://doi.org/10.1109/aspdac.2014.6742917