Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Geun-Woo Jeon"'
Autor:
Nan Nan, Stavros Tsogkas, Geun-Woo Jeon, Jun-Hyuk Kim, Xiaochuan Li, Jiande Jiang, Xiaotong Luo, Lei Zhang, Jun-Ho Choi, Vineeth Bhaskara, Yuzhi Zhao, Jong-Seok Lee, Shuai Liu, Maitreya Suin, Jian Cheng, Xiaohong Liu, Xuehui Wang, Jiangtao Nie, Wenyi Wang, Siang Chen, Martin Danelljan, Jiangtao Zhang, Rushi Lan, Yawei Li, Long Chen, Yu Zhu, Allan D. Jepson, Cong Leng, Christian Micheloni, Jie Cai, Shanshan Zhao, Chenghua Li, Rao Muhammad Umer, Guangyang Wu, C. V. Jiji, Zhenbing Liu, Zibo Meng, Eric Marty, Xinbo Gao, Qiong Yan, Wenhao Wang, Wei Wei, Subin Yang, A. N. Rajagopalan, Wen Lu, Radu Timofte, Jie Liu, Long Sun, Yu Qiao, Haicheng Wang, Yanyun Qu, Yongwoo Kim, Tongtong Zhao, Alex Levinshtein, Steven Marty, Wenjie Xu, JungHeum Kang, Xiangtao Kong, Xiangyu He, Densen Puthussery, Jie Tang, Jingwen He, Kai Zhang, Lin Zha, P. S. Hrishikesh, Hengyuan Zhao, Chao Dong, Sung-Ho Bae, Zhiqiang Lang, Abdul Muqeet, Xiangzhen Kong, Jiaming Ding, Dongliang Xiong, Chiu Man Ho, Jiwon Hwang, Gangshan Wu, Liang Chen, Kuldeep Purohit
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030670696
ECCV Workshops (3)
ECCV Workshops (3)
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor \(\times \)4 based on a set of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d21d570f8d10ec09dfbf7bc40c5c9c4a
https://doi.org/10.1007/978-3-030-67070-2_1
https://doi.org/10.1007/978-3-030-67070-2_1
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030670696
ECCV Workshops (3)
ECCV Workshops (3)
In recent years, image super-resolution (SR) methods using convolutional neural networks (CNNs) have achieved successful results. Nevertheless, it is often difficult to apply them in resource-constrained environments due to the requirement of heavy c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e479c6ab4120b0b7b7efcb578f7ae703
https://doi.org/10.1007/978-3-030-67070-2_4
https://doi.org/10.1007/978-3-030-67070-2_4