Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yin, Xuanwu"'
Autor:
Wu, Yaqi, Fan, Zhihao, Chu, Xiaofeng, Ren, Jimmy S., Li, Xiaoming, Yue, Zongsheng, Li, Chongyi, Zhou, Shangcheng, Feng, Ruicheng, Dai, Yuekun, Yang, Peiqing, Loy, Chen Change, Xu, Senyan, Sun, Zhijing, Zhu, Jiaying, Zhu, Yurui, Fu, Xueyang, Zha, Zheng-Jun, Cao, Jun, Li, Cheng, Chen, Shu, Ma, Liang, Zhou, Shiyang, Zeng, Haijin, Feng, Kai, Chen, Yongyong, Su, Jingyong, Guan, Xianyu, Yu, Hongyuan, Wan, Cheng, Lin, Jiamin, Han, Binnan, Zou, Yajun, Wu, Zhuoyuan, Huang, Yuan, Yu, Yongsheng, Zhang, Daoan, Li, Jizhe, Yin, Xuanwu, Zuo, Kunlong, Lu, Yunfan, Xu, Yijie, Ma, Wenzong, Guo, Weiyu, Xiong, Hui, Yu, Wei, Luo, Bingchun, Nathan, Sabari, Kansal, Priya
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data fo
Externí odkaz:
http://arxiv.org/abs/2405.04867
Autor:
Conde, Marcos V., Lei, Zhijun, Li, Wen, Stejerean, Cosmin, Katsavounidis, Ioannis, Timofte, Radu, Yoon, Kihwan, Gankhuyag, Ganzorig, Lv, Jiangtao, Sun, Long, Pan, Jinshan, Dong, Jiangxin, Tang, Jinhui, Li, Zhiyuan, Wei, Hao, Ge, Chenyang, Zhang, Dongyang, Liu, Tianle, Chen, Huaian, Jin, Yi, Zhou, Menghan, Yan, Yiqiang, Gao, Si, Wu, Biao, Liu, Shaoli, Zheng, Chengjian, Zhang, Diankai, Wang, Ning, Qiu, Xintao, Zhou, Yuanbo, Wu, Kongxian, Dai, Xinwei, Tang, Hui, Deng, Wei, Gao, Qingquan, Tong, Tong, Lee, Jae-Hyeon, Choi, Ui-Jin, Yan, Min, Liu, Xin, Wang, Qian, Ye, Xiaoqian, Du, Zhan, Zhang, Tiansen, Peng, Long, Guo, Jiaming, Di, Xin, Liao, Bohao, Du, Zhibo, Xia, Peize, Pei, Renjing, Wang, Yang, Cao, Yang, Zha, Zhengjun, Han, Bingnan, Yu, Hongyuan, Wu, Zhuoyuan, Wan, Cheng, Liu, Yuqing, Yu, Haodong, Li, Jizhe, Huang, Zhijuan, Huang, Yuan, Zou, Yajun, Guan, Xianyu, Jia, Qi, Zhang, Heng, Yin, Xuanwu, Zuo, Kunlong, Moon, Hyeon-Cheol, Jeong, Tae-hyun, Yang, Yoonmo, Kim, Jae-Gon, Jeong, Jinwoo, Kim, Sunjei
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a dive
Externí odkaz:
http://arxiv.org/abs/2404.16484
Autor:
Conde, Marcos V., Vasluianu, Florin-Alexandru, Timofte, Radu, Zhang, Jianxing, Li, Jia, Wang, Fan, Li, Xiaopeng, Liu, Zikun, Park, Hyunhee, Song, Sejun, Kim, Changho, Huang, Zhijuan, Yu, Hongyuan, Wan, Cheng, Xiang, Wending, Lin, Jiamin, Zhong, Hang, Zhang, Qiaosong, Sun, Yue, Yin, Xuanwu, Zuo, Kunlong, Xu, Senyan, Jiang, Siyuan, Sun, Zhijing, Zhu, Jiaying, Li, Liangyan, Chen, Ke, Li, Yunzhe, Ning, Yimo, Zhao, Guanhua, Chen, Jun, Yu, Jinyang, Xu, Kele, Xu, Qisheng, Dou, Yong
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem
Externí odkaz:
http://arxiv.org/abs/2404.16223
Autor:
Ren, Bin, Li, Yawei, Mehta, Nancy, Timofte, Radu, Yu, Hongyuan, Wan, Cheng, Hong, Yuxin, Han, Bingnan, Wu, Zhuoyuan, Zou, Yajun, Liu, Yuqing, Li, Jizhe, He, Keji, Fan, Chao, Zhang, Heng, Zhang, Xiaolin, Yin, Xuanwu, Zuo, Kunlong, Liao, Bohao, Xia, Peizhe, Peng, Long, Du, Zhibo, Di, Xin, Li, Wangkai, Wang, Yang, Zhai, Wei, Pei, Renjing, Guo, Jiaming, Xu, Songcen, Cao, Yang, Zha, Zhengjun, Wang, Yan, Liu, Yi, Wang, Qing, Zhang, Gang, Zhang, Liou, Zhao, Shijie, Sun, Long, Pan, Jinshan, Dong, Jiangxin, Tang, Jinhui, Liu, Xin, Yan, Min, Wang, Qian, Zhou, Menghan, Yan, Yiqiang, Liu, Yixuan, Chan, Wensong, Tang, Dehua, Zhou, Dong, Wang, Li, Tian, Lu, Emad, Barsoum, Jia, Bohan, Qiao, Junbo, Zhou, Yunshuai, Zhang, Yun, Li, Wei, Lin, Shaohui, Zhou, Shenglong, Chen, Binbin, Liao, Jincheng, Zhao, Suiyi, Zhang, Zhao, Wang, Bo, Luo, Yan, Wei, Yanyan, Li, Feng, Wang, Mingshen, Guan, Jinhan, Hu, Dehua, Yu, Jiawei, Xu, Qisheng, Sun, Tao, Lan, Long, Xu, Kele, Lin, Xin, Yue, Jingtong, Yang, Lehan, Du, Shiyi, Qi, Lu, Ren, Chao, Han, Zeyu, Wang, Yuhan, Chen, Chaolin, Li, Haobo, Zheng, Mingjun, Yang, Zhongbao, Song, Lianhong, Yan, Xingzhuo, Fu, Minghan, Zhang, Jingyi, Li, Baiang, Zhu, Qi, Xu, Xiaogang, Guo, Dan, Guo, Chunle, Chen, Jiadi, Long, Huanhuan, Duanmu, Chunjiang, Lei, Xiaoyan, Liu, Jie, Jia, Weilin, Cao, Weifeng, Zhang, Wenlong, Mao, Yanyu, Guo, Ruilong, Zhang, Nihao, Pandey, Manoj, Chernozhukov, Maksym, Le, Giang, Cheng, Shuli, Wang, Hongyuan, Wei, Ziyan, Tang, Qingting, Wang, Liejun, Li, Yongming, Guo, Yanhui, Xu, Hao, Khatami-Rizi, Akram, Mahmoudi-Aznaveh, Ahmad, Hsu, Chih-Chung, Lee, Chia-Ming, Chou, Yi-Shiuan, Joshi, Amogh, Akalwadi, Nikhil, Malagi, Sampada, Yashaswini, Palani, Desai, Chaitra, Tabib, Ramesh Ashok, Patil, Ujwala, Mudenagudi, Uma
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor
Externí odkaz:
http://arxiv.org/abs/2404.10343
Autor:
Chen, Zheng, Wu, Zongwei, Zamfir, Eduard, Zhang, Kai, Zhang, Yulun, Timofte, Radu, Yang, Xiaokang, Yu, Hongyuan, Wan, Cheng, Hong, Yuxin, Huang, Zhijuan, Zou, Yajun, Huang, Yuan, Lin, Jiamin, Han, Bingnan, Guan, Xianyu, Yu, Yongsheng, Zhang, Daoan, Yin, Xuanwu, Zuo, Kunlong, Hao, Jinhua, Zhao, Kai, Yuan, Kun, Sun, Ming, Zhou, Chao, An, Hongyu, Zhang, Xinfeng, Song, Zhiyuan, Dong, Ziyue, Zhao, Qing, Xu, Xiaogang, Wei, Pengxu, Dou, Zhi-chao, Wang, Gui-ling, Hsu, Chih-Chung, Lee, Chia-Ming, Chou, Yi-Shiuan, Korkmaz, Cansu, Tekalp, A. Murat, Wei, Yubin, Yan, Xiaole, Li, Binren, Chen, Haonan, Zhang, Siqi, Chen, Sihan, Joshi, Amogh, Akalwadi, Nikhil, Malagi, Sampada, Yashaswini, Palani, Desai, Chaitra, Tabib, Ramesh Ashok, Patil, Ujwala, Mudenagudi, Uma, Sarvaiya, Anjali, Choksy, Pooja, Joshi, Jagrit, Kawa, Shubh, Upla, Kishor, Patwardhan, Sushrut, Ramachandra, Raghavendra, Hossain, Sadat, Park, Geongi, Uddin, S. M. Nadim, Xu, Hao, Guo, Yanhui, Urumbekov, Aman, Yan, Xingzhuo, Hao, Wei, Fu, Minghan, Orais, Isaac, Smith, Samuel, Liu, Ying, Jia, Wangwang, Xu, Qisheng, Xu, Kele, Yuan, Weijun, Li, Zhan, Kuang, Wenqin, Guan, Ruijin, Deng, Ruting, Zhang, Zhao, Wang, Bo, Zhao, Suiyi, Luo, Yan, Wei, Yanyan, Khan, Asif Hussain, Micheloni, Christian, Martinel, Niki
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of fo
Externí odkaz:
http://arxiv.org/abs/2404.09790
Recent advancements in diffusion models have positioned them at the forefront of image generation. Despite their superior performance, diffusion models are not without drawbacks; they are characterized by complex architectures and substantial computa
Externí odkaz:
http://arxiv.org/abs/2403.16627
Autor:
Wan, Cheng, Yu, Hongyuan, Li, Zhiqi, Chen, Yihang, Zou, Yajun, Liu, Yuqing, Yin, Xuanwu, Zuo, Kunlong
Single Image Super-Resolution (SISR) is a crucial task in low-level computer vision, aiming to reconstruct high-resolution images from low-resolution counterparts. Conventional attention mechanisms have significantly improved SISR performance but oft
Externí odkaz:
http://arxiv.org/abs/2311.12770
High dynamic range (HDR) video reconstruction is attracting more and more attention due to the superior visual quality compared with those of low dynamic range (LDR) videos. The availability of LDR-HDR training pairs is essential for the HDR reconstr
Externí odkaz:
http://arxiv.org/abs/2304.04773
Publikováno v:
In Pattern Recognition May 2018 77:173-187
Akademický článek
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