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Youwei Li - IEEE Xplore Author Profile

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This work proposes to learn blind image super-resolution (SR) using deep constrained least squares deconvolution with low-resolution (LR) space kernels. Our method recovers the high-resolution (HR) image with a kernel estimation step and a kernel-based image restoration process. Specifically, we first reformulate the classical degradation model to transfer the deblurring kernel estimation into the...Show More

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Lei Yu;Youwei Li;Xinpeng Li;Ting Jiang;Qi Wu;Mingyan Han;Wenjie Lin;Chengzhi Jiang;Jinting Luo;Haoqiang Fan;Shuaicheng Liu;Yucong Wang;Minjie Cai;Mingxi Li;Yuhang Zhang;Xian-Jun Fan;Yankai Sheng;Yanyu Mao;Nihao Zhang;Qian Wang;Mingjun Zheng;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Zhongbao Yang;Yan Wang;Erlin Pan;Qixuan Cai;Xinan Dai;Magauiya Zhussip;Nikolay Kalyazin;Dmitry Vyal;Xueyi Zou;Youliang Yan;Heaseo Chung;Jin Zhang;Gaocheng Yu;Feng Zhang;Hongbin Wang;Bohao Liao;Zhibo Du;Yu-Liang Wu;Gege Shi;Long Peng;Yang Wang;Yang Cao;Zhengjun Zha;Zhi-Kai Huang;Yi-Chung Chen;Yuan-Chun Chiang;Hao-Hsiang Yang;Wei-Ting Chen;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Xin Liu;Qian Wang;Jiahao Pan;Hongyuan Yu;Weichen Yu;Lin Ge;Jiahua Dong;Yajun Zou;Zhuoyuan Wu;Binnan Han;Xiaolin Zhang;Heng Zhang;Xuanwu Yin;Kunlong Zuo;Weijian Deng;Hongjie Yuan;Zengtong Lu;Mingyu Ouyang;Wenzhuo Ma;Nian Liu;Hanyou Zheng;Yuantong Zhang;Junxi Zhang;Zhenzhong Chen;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Yurui Zhu;Xi Wang;Xueyang Fu;Zheng-Jun Zha;Daheng Yin;Mengyang Liu;Baijun Chen;Ao Li;Lei Luo;Kangjun Jin;Ce Zhu;Xiaoming Zhang;Chengxing Xie;Linze Li;Haiteng Meng;Tianlin Zhang;Tianrui Li;Xiaole Zhao;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Jiahuan Ren;Kang Hu;Jingpeng Shi;Zhijian Wu;Dingjiang Huang;Jinchen Zhu;Hui Li;Qianru Xv;Tianle Liu;Shizhuang Weng;Gang Wu;Junpeng Jiang;Xianming Liu;Junjun Jiang;Mingjian Zhang;Shizhuang Weng;Jing Hu;Chengxu Wu;Qinrui Fan;Chengming Feng;Ziwei Luo;Shu Hu;Siwei Lyu;Xi Wu;Xin Wang

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 challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge ...Show More

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Lei Yu;Youwei Li;Xinpeng Li;Ting Jiang;Qi Wu;Mingyan Han;Wenjie Lin;Chengzhi Jiang;Jinting Luo;Haoqiang Fan;Shuaicheng Liu;Yucong Wang;Minjie Cai;Mingxi Li;Yuhang Zhang;Xian-Jun Fan;Yankai Sheng;Yanyu Mao;Nihao Zhang;Qian Wang;Mingjun Zheng;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Zhongbao Yang;Yan Wang;Erlin Pan;Qixuan Cai;Xinan Dai;Magauiya Zhussip;Nikolay Kalyazin;Dmitry Vyal;Xueyi Zou;Youliang Yan;Heaseo Chung;Jin Zhang;Gaocheng Yu;Feng Zhang;Hongbin Wang;Bohao Liao;Zhibo Du;Yu-Liang Wu;Gege Shi;Long Peng;Yang Wang;Yang Cao;Zhengjun Zha;Zhi-Kai Huang;Yi-Chung Chen;Yuan-Chun Chiang;Hao-Hsiang Yang;Wei-Ting Chen;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Xin Liu;Qian Wang;Jiahao Pan;Hongyuan Yu;Weichen Yu;Lin Ge;Jiahua Dong;Yajun Zou;Zhuoyuan Wu;Binnan Han;Xiaolin Zhang;Heng Zhang;Xuanwu Yin;Kunlong Zuo;Weijian Deng;Hongjie Yuan;Zengtong Lu;Mingyu Ouyang;Wenzhuo Ma;Nian Liu;Hanyou Zheng;Yuantong Zhang;Junxi Zhang;Zhenzhong Chen;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Yurui Zhu;Xi Wang;Xueyang Fu;Zheng-Jun Zha;Daheng Yin;Mengyang Liu;Baijun Chen;Ao Li;Lei Luo;Kangjun Jin;Ce Zhu;Xiaoming Zhang;Chengxing Xie;Linze Li;Haiteng Meng;Tianlin Zhang;Tianrui Li;Xiaole Zhao;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Jiahuan Ren;Kang Hu;Jingpeng Shi;Zhijian Wu;Dingjiang Huang;Jinchen Zhu;Hui Li;Qianru Xv;Tianle Liu;Shizhuang Weng;Gang Wu;Junpeng Jiang;Xianming Liu;Junjun Jiang;Mingjian Zhang;Shizhuang Weng;Jing Hu;Chengxu Wu;Qinrui Fan;Chengming Feng;Ziwei Luo;Shu Hu;Siwei Lyu;Xi Wu;Xin Wang

Efficient deep learning-based approaches have achieved remarkable performance in single image super-resolution. However, recent studies on efficient super-resolution have mainly focused on reducing the number of parameters and floating-point operations through various network designs. Although these methods can decrease the number of parameters and floating-point operations, they may not necessari...Show More
In this paper, we tackle the problem of blind image super-resolution(SR) with a reformulated degradation model and two novel modules. Following the common practices of blind SR, our method proposes to improve both the kernel estimation as well as the kernel based high resolution image restoration. To be more specific, we first reformulate the degradation model such that the deblurring kernel estim...Show More
This work addresses the Burst Super-Resolution (BurstSR) task using a new architecture, which requires restoring a high-quality image from a sequence of noisy, misaligned, and low-resolution RAW bursts. To over-come the challenges in BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can significantly improve the capability of extracting inter-frame information and reconstructi...Show More

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

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 Ayazoğlu;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;Dengwen Zhou;Kun Zeng;Hanjiang Lin;Xinyu Chen;Jinsheng Fang

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 ×4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficien...Show More
We propose a novel architecture to handle the problem of multi-frame super-resolution (MFSR). The proposed framework is known as Enhanced Burst Super-Resolution (EBSR), which divides the MFSR problem into three parts: alignment, fusion, and reconstruction. We propose a Feature Enhanced Pyramid Cascading and Deformable convolution (FEPCD) module to align multiple low-resolution burst images in the ...Show More
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 image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating on synthetically generated data, and Track 2 using real-world bursts from mobile camera. In the final testing phase, 6 teams submitted results using ...Show More