Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ayazoglu, Mustafa"'
Super-resolution (SR) networks have been investigated for a while, with their mobile and lightweight versions gaining noticeable popularity recently. Quantization, the procedure of decreasing the precision of network parameters (mostly FP32 to INT8),
Externí odkaz:
http://arxiv.org/abs/2308.11365
We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++. Despite using spatial dimensions of the input image across the whole network, Bicubic++ first learns quick reversible downgraded and lower resolution f
Externí odkaz:
http://arxiv.org/abs/2305.02126
Autor:
Ignatov, Andrey, Timofte, Radu, Denna, Maurizio, Younes, Abdel, Gankhuyag, Ganzorig, Huh, Jingang, Kim, Myeong Kyun, Yoon, Kihwan, Moon, Hyeon-Cheol, Lee, Seungho, Choe, Yoonsik, Jeong, Jinwoo, Kim, Sungjei, Smyl, Maciej, Latkowski, Tomasz, Kubik, Pawel, Sokolski, Michal, Ma, Yujie, Chao, Jiahao, Zhou, Zhou, Gao, Hongfan, Yang, Zhengfeng, Zeng, Zhenbing, Zhuge, Zhengyang, Li, Chenghua, Zhu, Dan, Sun, Mengdi, Duan, Ran, Gao, Yan, Kong, Lingshun, Sun, Long, Li, Xiang, Zhang, Xingdong, Zhang, Jiawei, Wu, Yaqi, Pan, Jinshan, Yu, Gaocheng, Zhang, Jin, Zhang, Feng, Ma, Zhe, Wang, Hongbin, Cho, Hojin, Kim, Steve, Li, Huaen, Ma, Yanbo, Luo, Ziwei, Li, Youwei, Yu, Lei, Wen, Zhihong, Wu, Qi, Fan, Haoqiang, Liu, Shuaicheng, Zhang, Lize, Zong, Zhikai, Kwon, Jeremy, Zhang, Junxi, Li, Mengyuan, Fu, Nianxiang, Ding, Guanchen, Zhu, Han, Chen, Zhenzhong, Li, Gen, Zhang, Yuanfan, Sun, Lei, Zhang, Dafeng, Yang, Neo, Liu, Fitz, Zhao, Jerry, Ayazoglu, Mustafa, Bilecen, Bahri Batuhan, Hirose, Shota, Arunruangsirilert, Kasidis, Ao, Luo, Leung, Ho Chun, Wei, Andrew, Liu, Jie, Liu, Qiang, Yu, Dahai, Li, Ao, Luo, Lei, Zhu, Ce, Hong, Seongmin, Park, Dongwon, Lee, Joonhee, Lee, Byeong Hyun, Lee, Seunggyu, Chun, Se Young, He, Ruiyuan, Jiang, Xuhao, Ruan, Haihang, Zhang, Xinjian, Liu, Jing, Gendy, Garas, Sabor, Nabil, Hou, Jingchao, He, Guanghui
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions have been proposed for this problem in the past, they are usually not com
Externí odkaz:
http://arxiv.org/abs/2211.05910
Publikováno v:
ECCV 2022, AIM Workshop
We propose a lightweight, single image super-resolution network for mobile devices, named XCAT. XCAT introduces Heterogeneous Group Convolution Blocks with Cross Concatenations (HXBlock). The heterogeneous split of the input channels to the group con
Externí odkaz:
http://arxiv.org/abs/2208.14655
Autor:
Yang, Ren, Timofte, Radu, Li, Xin, Zhang, Qi, Zhang, Lin, Liu, Fanglong, He, Dongliang, li, Fu, Zheng, He, Yuan, Weihang, Ostyakov, Pavel, Vyal, Dmitry, Zhussip, Magauiya, Zou, Xueyi, Yan, Youliang, Li, Lei, Tang, Jingzhu, Chen, Ming, Zhao, Shijie, Zhu, Yu, Qin, Xiaoran, Li, Chenghua, Leng, Cong, Cheng, Jian, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Zhang, Dafeng, Huang, Feiyu, Liu, Shizhuo, Wang, Xiaobing, Jin, Zhezhu, Li, Bingchen, Li, Mingxi, Liu, Ding, Zou, Wenbin, Dong, Peijie, Ye, Tian, Zhang, Yunchen, Tan, Ming, Niu, Xin, Ayazoglu, Mustafa, Conde, Marcos, Choi, Ui-Jin, Jia, Zhuang, Xu, Tianyu, Zhang, Yijian, Ye, Mao, Luo, Dengyan, Pan, Xiaofeng, Peng, Liuhan
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track~2 targets the super-resolution of compressed video
Externí odkaz:
http://arxiv.org/abs/2208.11184
Image alignment, also known as image registration, is a critical block used in many computer vision problems. One of the key factors in alignment is efficiency, as inefficient aligners can cause significant overhead to the overall problem. In the lit
Externí odkaz:
http://arxiv.org/abs/2206.00291
Autor:
Li, Yawei, Zhang, Kai, Timofte, Radu, Van Gool, Luc, Kong, Fangyuan, Li, Mingxi, Liu, Songwei, Du, Zongcai, Liu, Ding, Zhou, Chenhui, Chen, Jingyi, Han, Qingrui, Li, Zheyuan, Liu, Yingqi, Chen, Xiangyu, Cai, Haoming, Qiao, Yu, Dong, Chao, Sun, Long, Pan, Jinshan, Zhu, Yi, Zong, Zhikai, Liu, Xiaoxiao, Hui, Zheng, Yang, Tao, Ren, Peiran, Xie, Xuansong, Hua, Xian-Sheng, Wang, Yanbo, Ji, Xiaozhong, Lin, Chuming, Luo, Donghao, Tai, Ying, Wang, Chengjie, Zhang, Zhizhong, Xie, Yuan, Cheng, Shen, Luo, Ziwei, Yu, Lei, Wen, Zhihong, Wu1, Qi, Li, Youwei, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Huang, Yuanfei, Jin, Meiguang, Huang, Hua, Liu, Jing, Zhang, Xinjian, Wang, Yan, Long, Lingshun, Li, Gen, Zhang, Yuanfan, Cao, Zuowei, Sun, Lei, Alexander, Panaetov, Wang, Yucong, Cai, Minjie, Wang, Li, Tian, Lu, Wang, Zheyuan, Ma, Hongbing, Liu, Jie, Chen, Chao, Cai, Yidong, Tang, Jie, Wu, Gangshan, Wang, Weiran, Huang, Shirui, Lu, Honglei, Liu, Huan, Wang, Keyan, Chen, Jun, Chen, Shi, Miao, Yuchun, Huang, Zimo, Zhang, Lefei, Ayazoğlu, Mustafa, Xiong, Wei, Xiong, Chengyi, Wang, Fei, Li, Hao, Wen, Ruimian, Yang, Zhijing, Zou, Wenbin, Zheng, Weixin, Ye, Tian, Zhang, Yuncheng, Kong, Xiangzhen, Arora, Aditya, Zamir, Syed Waqas, Khan, Salman, Hayat, Munawar, Khan, Fahad Shahbaz, Ning, Dandan Gaoand Dengwen Zhouand Qian, Tang, Jingzhu, Huang, Han, Wang, Yufei, Peng, Zhangheng, Li, Haobo, Guan, Wenxue, Gong, Shenghua, Li, Xin, Liu, Jun, Wang, Wanjun, Zhou, Dengwen, Zeng, Kun, Lin, Hanjiang, Chen, Xinyu, Fang, Jinsheng
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of $\times$4 based on p
Externí odkaz:
http://arxiv.org/abs/2205.05675
Autor:
Ayazoglu, Mustafa
Single-Image-Super-Resolution (SISR) is a classical computer vision problem that has benefited from the recent advancements in deep learning methods, especially the advancements of convolutional neural networks (CNN). Although state-of-the-art method
Externí odkaz:
http://arxiv.org/abs/2204.11463
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
Autor:
Ayazoglu, Mustafa
Publikováno v:
IEEE Computer Vision Pattern Recognition Workshops (Mobile AI 2021 Workshop)
Single-Image Super Resolution (SISR) is a classical computer vision problem and it has been studied for over decades. With the recent success of deep learning methods, recent work on SISR focuses solutions with deep learning methodologies and achieve
Externí odkaz:
http://arxiv.org/abs/2105.10288
Autor:
Ignatov, Andrey, Timofte, Radu, Denna, Maurizio, Younes, Abdel, Lek, Andrew, Ayazoglu, Mustafa, Liu, Jie, Du, Zongcai, Guo, Jiaming, Zhou, Xueyi, Jia, Hao, Yan, Youliang, Zhang, Zexin, Chen, Yixin, Peng, Yunbo, Lin, Yue, Zhang, Xindong, Zeng, Hui, Zeng, Kun, Li, Peirong, Liu, Zhihuang, Xue, Shiqi, Wang, Shengpeng
Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices. While many solutions have been proposed for this task, they are usually not optimized even for common smartphone AI hardwar
Externí odkaz:
http://arxiv.org/abs/2105.07825