Search Results - "Zhussip, Magauiya"

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior by Zhussip, Magauiya, Soltanayev, Shakarim, Chun, Se Young

“…Compressive sensing is a method to recover the original image from undersampled measurements. In order to overcome the ill-posedness of this inverse problem,…”
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A Modular Conditional Diffusion Framework for Image Reconstruction by Zhussip, Magauiya, Koshelev, Iaroslav, Lefkimmiatis, Stamatis

“…Diffusion Probabilistic Models (DPMs) have been recently utilized to deal with various blind image restoration (IR) tasks, where they have demonstrated…”
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results by Abdelhamed, Abdelrahman, Afifi, Mahmoud, Timofte, Radu, Brown, Michael S., Cao, Yue, Zhang, Zhilu, Zuo, Wangmeng, Zhang, Xiaoling, Liu, Jiye, Chen, Wendong, Wen, Changyuan, Liu, Meng, Lv, Shuailin, Zhang, Yunchao, Pan, Zhihong, Li, Baopu, Xi, Teng, Fan, Yanwen, Yu, Xiyu, Zhang, Gang, Liu, Jingtuo, Han, Junyu, Ding, Errui, Yu, Songhyun, Park, Bumjun, Jeong, Jechang, Liu, Shuai, Zong, Ziyao, Nan, Nan, Li, Chenghua, Yang, Zengli, Bao, Long, Wang, Shuangquan, Bai, Dongwoon, Lee, Jungwon, Kim, Youngjung, Rho, Kyeongha, Shin, Changyeop, Kim, Sungho, Tang, Pengliang, Zhao, Yiyun, Zhou, Yuqian, Fan, Yuchen, Huang, Thomas, Li, Zhihao, Shah, Nisarg A., Liu, Wei, Yan, Qiong, Zhao, Yuzhi, Mozejko, Marcin, Latkowski, Tomasz, Treszczotko, Lukasz, Szafraniuk, Michal, Trojanowski, Krzysztof, Wu, Yanhong, Michelini, Pablo Navarrete, Hu, Fengshuo, Lu, Yunhua, Kim, Sujin, Kim, Wonjin, Lee, Jaayeon, Choi, Jang-Hwan, Zhussip, Magauiya, Khassenov, Azamat, Kim, Jong Hyun, Cho, Hwechul, Kansal, Priya, Nathan, Sabari, Ye, Zhangyu, Lu, Xiwen, Wu, Yaqi, Yang, Jiangxin, Cao, Yanlong, Tang, Siliang, Cao, Yanpeng, Maggioni, Matteo, Marras, Ioannis, Tanay, Thomas, Slabaugh, Gregory, Yan, Youliang, Kang, Myungjoo, Choi, Han-Soo, Song, Kyungmin, Xu, Shusong, Lu, Xiaomu, Wang, Tingniao, Lei, Chunxia, Liu, Bin, Gupta, Rajat, Kumar, Vineet

“…This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The…”
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NTIRE 2019 Challenge on Real Image Denoising: Methods and Results by Abdelhamed, Abdelrahman, Timofte, Radu, Brown, Michael S., Yu, Songhyun, Park, Bumjun, Jeong, Jechang, Jung, Seung-Won, Kim, Dong-Wook, Chung, Jae-Ryun, Liu, Jiaming, Wang, Yuzhi, Wu, Chi-Hao, Xu, Qin, Wang, Chuan, Cai, Shaofan, Ding, Yifan, Fan, Haoqiang, Wang, Jue, Zhang, Kai, Zuo, Wangmeng, Zhussip, Magauiya, Park, Dong Won, Soltanayev, Shakarim, Chun, Se Young, Xiong, Zhiwei, Chen, Chang, Haris, Muhammad, Akita, Kazutoshi, Yoshida, Tomoki, Shakhnarovich, Greg, Ukita, Norimichi, Zamir, Syed Waqas, Arora, Aditya, Khan, Salman, Khan, Fahad Shahbaz, Shao, Ling, Ko, Sung-Jea, Lim, Dong-Pan, Kim, Seung-Wook, Ji, Seo-Won, Lee, Sang-Won, Tang, Wenyi, Fan, Yuchen, Zhou, Yuqian, Liu, Ding, Huang, Thomas S., Meng, Deyu, Zhang, Lei, Yong, Hongwei, Zhao, Yiyun, Tang, Pengliang, Lu, Yue, Schettini, Raimondo, Bianco, Simone, Zini, Simone, Li, Chi, Wang, Yang, Cao, Zhiguo

“…This paper reviews the NTIRE 2019 challenge on real image denoising with focus on the proposed methods and their results. The challenge has two tracks for…”
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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results by Li, Yawei, Yu, Lei, Li, Youwei, Li, Xinpeng, Jiang, Ting, Han, Mingyan, Lin, Wenjie, Jiang, Chengzhi, Luo, Jinting, Fan, Haoqiang, Wang, Yucong, Cai, Minjie, Zhang, Yuhang, Fan, Xian-Jun, Sheng, Yankai, Mao, Yanyu, Wang, Qian, Zheng, Mingjun, Sun, Long, Pan, Jinshan, Dong, Jiangxin, Wang, Yan, Pan, Erlin, Cai, Qixuan, Dai, Xinan, Kalyazin, Nikolay, Vyal, Dmitry, Yan, Youliang, Zhang, Jin, Yu, Gaocheng, Zhang, Feng, Wang, Hongbin, Liao, Bohao, Du, Zhibo, Shi, Gege, Peng, Long, Wang, Yang, Cao, Yang, Chen, Yi-Chung, Chiang, Yuan-Chun, Yang, Hao-Hsiang, Chen, Wei-Ting, Chang, Hua-En, Chen, I-Hsiang, Kuo, Sy-Yen, Wang, Qian, Pan, Jiahao, Yu, Hongyuan, Yu, Weichen, Ge, Lin, Zou, Yajun, Zhang, Xiaolin, Zuo, Kunlong, Deng, Weijian, Yuan, Hongjie, Liu, Nian, Zhang, Yuantong, Zhang, Junxi, Chen, Zhenzhong, Gendy, Garas, Sabor, Nabil, Hou, Jingchao, He, Guanghui, Zhu, Yurui, Wang, Xi, Fu, Xueyang, Zha, Zheng-Jun, Yin, Daheng, Chen, Baijun, Li, Ao, Luo, Lei, Jin, Kangjun, Zhu, Ce, Zhang, Xiaoming, Xie, Chengxing, Li, Linze, Zhang, Tianlin, Zhao, Xiaole, Zhang, Zhao, Li, Baiang, Zheng, Huan, Ren, Jiahuan, Hu, Kang, Shi, Jingpeng, Wu, Zhijian, Huang, Dingjiang, Liu, Tianle, Wu, Gang, Jiang, Junpeng, Liu, Xianming, Jiang, Junjun, Zhang, Mingjian, Weng, Shizhuang, Hu, Jing, Wu, Chengxu, Feng, Chengming, Luo, Ziwei, Hu, Shu, Lyu, Siwei, Wu, Xi

“…This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this…”
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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results by Bhat, Goutam, Danelljan, Martin, Timofte, Radu, Akita, Kazutoshi, Cho, Wooyeong, Fan, Haoqiang, Jia, Lanpeng, Kim, Daeshik, Lecouat, Bruno, Li, Youwei, Liu, Shuaicheng, Liu, Ziluan, Luo, Ziwei, Maeda, Takahiro, Mairal, Julien, Micheloni, Christian, Mo, Xuan, Oba, Takeru, Ostyakov, Pavel, Ponce, Jean, Son, Sanghyeok, Sun, Jian, Ukita, Norimichi, Muhammad, Rao, Yan, Umer Youliang, Yu, Lei, Zhussip, Magauiya, Zou, Xueyi

“…This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB…”
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Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images by Zhussip, Magauiya, Soltanayev, Shakarim, Chun, Se Young

“…Recently, Stein's unbiased risk estimator (SURE) has been applied to unsupervised training of deep neural network Gaussian denoisers that outperformed…”
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NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results by Yang, Ren, Timofte, Radu, Zheng, Meisong, Xing, Qunliang, Qiao, Minglang, Xu, Mai, Jiang, Lai, Liu, Huaida, Chen, Ying, Ben, Youcheng, Zhou, Xiao, Fu, Chen, Cheng, Pei, Yu, Gang, Li, Junyi, Wu, Renlong, Zhang, Zhilu, Shang, Wei, Lv, Zhengyao, Chen, Yunjin, Zhou, Mingcai, Ren, Dongwei, Zhang, Kai, Zuo, Wangmeng, Ostyakov, Pavel, Dmitry, Vyal, Soltanayev, Shakarim, Sergey, Chervontsev, Magauiya, Zhussip, Zou, Xueyi, Yan, Youliang, Michelini, Pablo Navarrete, Lu, Yunhua, Zhang, Diankai, Liu, Shaoli, Gao, Si, Wu, Biao, Zheng, Chengjian, Zhang, Xiaofeng, Lu, Kaidi, Wang, Ning, Canh, Thuong Nguyen, Bach, Thong, Wang, Qing, Sun, Xiaopeng, Ma, Haoyu, Zhao, Shijie, Li, Junlin, Xie, Liangbin, Shi, Shuwei, Yang, Yujiu, Wang, Xintao, Gu, Jinjin, Dong, Chao, Shi, Xiaodi, Nian, Chunmei, Jiang, Dong, Lin, Jucai, Xie, Zhihuai, Ye, Mao, Luo, Dengyan, Peng, Liuhan, Chen, Shengjie, Liu, Xin, Wang, Qian, Liu, Xin, Liang, Boyang, Dong, Hang, Huang, Yuhao, Chen, Kai, Guo, Xingbei, Sun, Yujing, Wu, Huilei, Wei, Pengxu, Huang, Yulin, Chen, Junying, Hyun Lee, Ik, Ali Khowaja, Sunder, Yoon, Jiseok

“…This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0…”
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NTIRE 2022 Burst Super-Resolution Challenge by Bhat, Goutam, Danelljan, Martin, Timofte, Radu, Cao, Yizhen, Cao, Yuntian, Chen, Meiya, Chen, Xihao, Cheng, Shen, Dudhane, Akshay, Fan, Haoqiang, Gang, Ruipeng, Gao, Jian, Gu, Yan, Huang, Jie, Huang, Liufeng, Jo, Youngsu, Kang, Sukju, Khan, Salman, Shahbaz Khan, Fahad, Kondo, Yuki, Li, Chenghua, Li, Fangya, Li, Jinjing, Li, Youwei, Li, Zechao, Liu, Chenming, Liu, Shuaicheng, Liu, Zikun, Liu, Zhuoming, Luo, Ziwei, Luo, Zhengxiong, Mehta, Nancy, Murala, Subrahmanyam, Nam, Yoonchan, Nakatani, Chihiro, Ostyakov, Pavel, Pan, Jinshan, Song, Ge, Sun, Jian, Sun, Long, Tang, Jinhui, Ukita, Norimichi, Wen, Zhihong, Wu, Qi, Wu, Xiaohe, Xiao, Zeyu, Xiong, Zhiwei, Xu, Rongjian, Xu, Ruikang, Yan, Youliang, Yang, Jialin, Yang, Wentao, Yang, Zhongbao, Yasue, Fuma, Yao, Mingde, Yu, Lei, Zhang, Cong, Waqas Zamir, Syed, Zhang, Jianxing, Zhang, Shuohao, Zhang, Zhilu, Zheng, Qian, Zhou, Gaofeng, Zhussip, Magauiya, Zou, Xueyi, Zuo, Wangmeng

“…Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple…”
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Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior by Zhussip, Magauiya, Soltanayev, Shakarim, Chun, Se Young

“…Compressive sensing is a method to recover the original image from undersampled measurements. In order to overcome the ill-posedness of this inverse problem,…”
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AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results by 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…”
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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results by Bhat, Goutam, Danelljan, Martin, Timofte, Radu, Akita, Kazutoshi, Cho, Wooyeong, Fan, Haoqiang, Jia, Lanpeng, Kim, Daeshik, Lecouat, Bruno, Li, Youwei, Liu, Shuaicheng, Liu, Ziluan, Luo, Ziwei, Maeda, Takahiro, Mairal, Julien, Micheloni, Christian, Mo, Xuan, Oba, Takeru, Ostyakov, Pavel, Ponce, Jean, Son, Sanghyeok, Sun, Jian, Ukita, Norimichi, Umer, Rao Muhammad, Yan, Youliang, Yu, Lei, Zhussip, Magauiya, Zou, Xueyi

“…This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB…”
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NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results by Yang, Ren, Timofte, Radu, Zheng, Meisong, Xing, Qunliang, Qiao, Minglang, Xu, Mai, Jiang, Lai, Liu, Huaida, Chen, Ying, Ben, Youcheng, Zhou, Xiao, Fu, Chen, Cheng, Pei, Yu, Gang, Li, Junyi, Wu, Renlong, Zhang, Zhilu, Shang, Wei, Lv, Zhengyao, Chen, Yunjin, Zhou, Mingcai, Ren, Dongwei, Zhang, Kai, Zuo, Wangmeng, Ostyakov, Pavel, Dmitry, Vyal, Soltanayev, Shakarim, Sergey, Chervontsev, Magauiya, Zhussip, Zou, Xueyi, Yan, Youliang, Michelini, Pablo Navarrete, Lu, Yunhua, Zhang, Diankai, Liu, Shaoli, Gao, Si, Wu, Biao, Zheng, Chengjian, Zhang, Xiaofeng, Lu, Kaidi, Wang, Ning, Canh, Thuong Nguyen, Bach, Thong, Wang, Qing, Sun, Xiaopeng, Ma, Haoyu, Zhao, Shijie, Li, Junlin, Xie, Liangbin, Shi, Shuwei, Yang, Yujiu, Wang, Xintao, Gu, Jinjin, Dong, Chao, Shi, Xiaodi, Nian, Chunmei, Jiang, Dong, Lin, Jucai, Xie, Zhihuai, Ye, Mao, Luo, Dengyan, Peng, Liuhan, Chen, Shengjie, Liu, Xin, Wang, Qian, Liang, Boyang, Dong, Hang, Huang, Yuhao, Chen, Kai, Guo, Xingbei, Sun, Yujing, Wu, Huilei, Wei, Pengxu, Huang, Yulin, Chen, Junying, Lee, Ik Hyun, Khowaja, Sunder Ali, Yoon, Jiseok

“…This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0…”
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AIM 2020 Challenge on Learned Image Signal Processing Pipeline by Ignatov, Andrey, Timofte, Radu, Zhang, Zhilu, Liu, Ming, Wang, Haolin, Zuo, Wangmeng, Zhang, Jiawei, Zhang, Ruimao, Peng, Zhanglin, Ren, Sijie, Dai, Linhui, Liu, Xiaohong, Li, Chengqi, Chen, Jun, Ito, Yuichi, Vasudeva, Bhavya, Deora, Puneesh, Pal, Umapada, Guo, Zhenyu, Zhu, Yu, Liang, Tian, Li, Chenghua, Leng, Cong, Pan, Zhihong, Li, Baopu, Kim, Byung-Hoon, Song, Joonyoung, Ye, Jong Chul, Baek, JaeHyun, Zhussip, Magauiya, Koishekenov, Yeskendir, Ye, Hwechul Cho, Liu, Xin, Hu, Xueying, Jiang, Jun, Gu, Jinwei, Li, Kai, Tan, Pengliang, Hou, Bingxin

“…This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were…”
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results by Abdelhamed, Abdelrahman, Afifi, Mahmoud, Timofte, Radu, Brown, Michael S, Cao, Yue, Zhang, Zhilu, Zuo, Wangmeng, Zhang, Xiaoling, Liu, Jiye, Chen, Wendong, Wen, Changyuan, Liu, Meng, Lv, Shuailin, Zhang, Yunchao, Pan, Zhihong, Li, Baopu, Xi, Teng, Fan, Yanwen, Yu, Xiyu, Zhang, Gang, Liu, Jingtuo, Han, Junyu, Ding, Errui, Yu, Songhyun, Park, Bumjun, Jeong, Jechang, Liu, Shuai, Zong, Ziyao, Nan, Nan, Li, Chenghua, Yang, Zengli, Bao, Long, Wang, Shuangquan, Bai, Dongwoon, Lee, Jungwon, Kim, Youngjung, Rho, Kyeongha, Shin, Changyeop, Kim, Sungho, Tang, Pengliang, Zhao, Yiyun, Zhou, Yuqian, Fan, Yuchen, Huang, Thomas, Li, Zhihao, Shah, Nisarg A, Liu, Wei, Yan, Qiong, Zhao, Yuzhi, Możejko, Marcin, Latkowski, Tomasz, Treszczotko, Lukasz, Szafraniuk, Michał, Trojanowski, Krzysztof, Wu, Yanhong, Michelini, Pablo Navarrete, Hu, Fengshuo, Lu, Yunhua, Kim, Sujin, Kim, Wonjin, Lee, Jaayeon, Choi, Jang-Hwan, Zhussip, Magauiya, Khassenov, Azamat, Kim, Jong Hyun, Cho, Hwechul, Kansal, Priya, Nathan, Sabari, Ye, Zhangyu, Lu, Xiwen, Wu, Yaqi, Yang, Jiangxin, Cao, Yanlong, Tang, Siliang, Cao, Yanpeng, Maggioni, Matteo, Marras, Ioannis, Tanay, Thomas, Slabaugh, Gregory, Yan, Youliang, Kang, Myungjoo, Choi, Han-Soo, Song, Kyungmin, Xu, Shusong, Lu, Xiaomu, Wang, Tingniao, Lei, Chunxia, Liu, Bin, Gupta, Rajat, Kumar, Vineet

“…This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The…”
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