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Gamma-enhanced Spatial Attention Network for Efficient High Dynamic Range Imaging
Fangya Li;Ruipeng Gang;Chenghua Li;Jinjing Li;Sai Ma;Chenming Liu;Yizhen Cao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
High dynamic range(HDR) imaging is the task of re-covering HDR image from one or multiple input Low Dynamic Range (LDR) images. In this paper, we present Gamma-enhanced Spatial Attention Network(GSANet), a novel framework for reconstructing HDR images. This problem comprises two intractable challenges of how to tackle overexposed and underexposed regions and how to overcome the paradox of performa...Show More
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero;Sibi Catley-Chandar;Richard Shaw;Aleš Leonardis;Radu Timofte;Zexin Zhang;Cen Liu;Yunbo Peng;Yue Lin;Gaocheng Yu;Jin Zhang;Zhe Ma;Hongbin Wang;Xiangyu Chen;Xintao Wang;Haiwei Wu;Lin Liu;Chao Dong;Jiantao Zhou;Qingsen Yan;Song Zhang;Weiye Chen;Yuhang Liu;Zhen Zhang;Yanning Zhang;Javen Qinfeng Shi;Dong Gong;Dan Zhu;Mengdi Sun;Guannan Chen;Yang Hu;Haowei Li;Baozhu Zou;Zhen Liu;Wenjie Lin;Ting Jiang;Chengzhi Jiang;Xinpeng Li;Mingyan Han;Haoqiang Fan;Jian Sun;Shuaicheng Liu;Juan Marín-Vega;Michael Sloth;Peter Schneider-Kamp;Richard Röttger;Chunyang Li;Long Bao;Gang He;Ziyao Xu;Li Xu;Gen Zhan;Ming Sun;Xing Wen;Junlin Li;Jinjing Li;Chenghua Li;Ruipeng Gang;Fangya Li;Chenming Liu;Shuang Feng;Fei Lei;Rui Liu;Junxiang Ruan;Tianhong Dai;Wei Li;Zhan Lu;Hengyan Liu;Peian Huang;Guangyu Ren;Yonglin Luo;Chang Liu;Qiang Tu;Fangya Li;Ruipeng Gang;Chenghua Li;Jinjing Li;Sai Ma;Chenming Liu;Yizhen Cao;Steven Tel;Barthelemy Heyrman;Dominique Ginhac;Chul Lee;Gahyeon Kim;Seonghyun Park;An Gia Vien;Truong Thanh Nhat Mai;Howoon Yoon;Tu Vo;Alexander Holston;Sheir Zaheer;Chan Y. Park
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (29)
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set-up, datasets, the proposed methods and their results. The challenge aims at estimating an HDR image from multiple respective low dynamic range (LDR) ...Show More
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero;Sibi Catley-Chandar;Richard Shaw;Aleš Leonardis;Radu Timofte;Zexin Zhang;Cen Liu;Yunbo Peng;Yue Lin;Gaocheng Yu;Jin Zhang;Zhe Ma;Hongbin Wang;Xiangyu Chen;Xintao Wang;Haiwei Wu;Lin Liu;Chao Dong;Jiantao Zhou;Qingsen Yan;Song Zhang;Weiye Chen;Yuhang Liu;Zhen Zhang;Yanning Zhang;Javen Qinfeng Shi;Dong Gong;Dan Zhu;Mengdi Sun;Guannan Chen;Yang Hu;Haowei Li;Baozhu Zou;Zhen Liu;Wenjie Lin;Ting Jiang;Chengzhi Jiang;Xinpeng Li;Mingyan Han;Haoqiang Fan;Jian Sun;Shuaicheng Liu;Juan Marín-Vega;Michael Sloth;Peter Schneider-Kamp;Richard Röttger;Chunyang Li;Long Bao;Gang He;Ziyao Xu;Li Xu;Gen Zhan;Ming Sun;Xing Wen;Junlin Li;Jinjing Li;Chenghua Li;Ruipeng Gang;Fangya Li;Chenming Liu;Shuang Feng;Fei Lei;Rui Liu;Junxiang Ruan;Tianhong Dai;Wei Li;Zhan Lu;Hengyan Liu;Peian Huang;Guangyu Ren;Yonglin Luo;Chang Liu;Qiang Tu;Fangya Li;Ruipeng Gang;Chenghua Li;Jinjing Li;Sai Ma;Chenming Liu;Yizhen Cao;Steven Tel;Barthelemy Heyrman;Dominique Ginhac;Chul Lee;Gahyeon Kim;Seonghyun Park;An Gia Vien;Truong Thanh Nhat Mai;Howoon Yoon;Tu Vo;Alexander Holston;Sheir Zaheer;Chan Y. Park
Year: 2022 | Conference Paper |
NTIRE 2022 Burst Super-Resolution Challenge
Goutam Bhat;Martin Danelljan;Radu Timofte;Yizhen Cao;Yuntian Cao;Meiya Chen;Xihao Chen;Shen Cheng;Akshay Dudhane;Haoqiang Fan;Ruipeng Gang;Jian Gao;Yan Gu;Jie Huang;Liufeng Huang;Youngsu Jo;Sukju Kang;Salman Khan;Fahad Shahbaz Khan;Yuki Kondo;Chenghua Li;Fangya Li;Jinjing Li;Youwei Li;Zechao Li;Chenming Liu;Shuaicheng Liu;Zikun Liu;Zhuoming Liu;Ziwei Luo;Zhengxiong Luo;Nancy Mehta;Subrahmanyam Murala;Yoonchan Nam;Chihiro Nakatani;Pavel Ostyakov;Jinshan Pan;Ge Song;Jian Sun;Long Sun;Jinhui Tang;Norimichi Ukita;Zhihong Wen;Qi Wu;Xiaohe Wu;Zeyu Xiao;Zhiwei Xiong;Rongjian Xu;Ruikang Xu;Youliang Yan;Jialin Yang;Wentao Yang;Zhongbao Yang;Fuma Yasue;Mingde Yao;Lei Yu;Cong Zhang;Syed Waqas Zamir;Jianxing Zhang;Shuohao Zhang;Zhilu Zhang;Qian Zheng;Gaofeng Zhou;Magauiya Zhussip;Xueyi Zou;Wangmeng Zuo
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (19)
Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants w...Show More
NTIRE 2022 Burst Super-Resolution Challenge
Goutam Bhat;Martin Danelljan;Radu Timofte;Yizhen Cao;Yuntian Cao;Meiya Chen;Xihao Chen;Shen Cheng;Akshay Dudhane;Haoqiang Fan;Ruipeng Gang;Jian Gao;Yan Gu;Jie Huang;Liufeng Huang;Youngsu Jo;Sukju Kang;Salman Khan;Fahad Shahbaz Khan;Yuki Kondo;Chenghua Li;Fangya Li;Jinjing Li;Youwei Li;Zechao Li;Chenming Liu;Shuaicheng Liu;Zikun Liu;Zhuoming Liu;Ziwei Luo;Zhengxiong Luo;Nancy Mehta;Subrahmanyam Murala;Yoonchan Nam;Chihiro Nakatani;Pavel Ostyakov;Jinshan Pan;Ge Song;Jian Sun;Long Sun;Jinhui Tang;Norimichi Ukita;Zhihong Wen;Qi Wu;Xiaohe Wu;Zeyu Xiao;Zhiwei Xiong;Rongjian Xu;Ruikang Xu;Youliang Yan;Jialin Yang;Wentao Yang;Zhongbao Yang;Fuma Yasue;Mingde Yao;Lei Yu;Cong Zhang;Syed Waqas Zamir;Jianxing Zhang;Shuohao Zhang;Zhilu Zhang;Qian Zheng;Gaofeng Zhou;Magauiya Zhussip;Xueyi Zou;Wangmeng Zuo
Year: 2022 | Conference Paper |
NTIRE 2021 Depth Guided Image Relighting Challenge
Majed El Helou;Ruofan Zhou;Sabine Süsstrunk;Radu Timofte;Maitreya Suin;A. N. Rajagopalan;Yuanzhi Wang;Tao Lu;Yanduo Zhang;Yuntao Wu;Hao-Hsiang Yang;Wei-Ting Chen;Sy-Yen Kuo;Hao-Lun Luo;Zhiguang Zhang;Zhipeng Luo;Jianye He;Zuo-Liang Zhu;Zhen Li;Jia-Xiong Qiu;Zeng-Sheng Kuang;Cheng-Ze Lu;Ming-Ming Cheng;Xiu-Li Shao;Chenghua Li;Bosong Ding;Wanli Qian;Fangya Li;Fu Li;Ruifeng Deng;Tianwei Lin;Songhua Liu;Xin Li;Dongliang He;Amirsaeed Yazdani;Tiantong Guo;Vishal Monga;Ntumba Elie Nsampi;Zhongyun Hu;Qing Wang;Sabari Nathan;Priya Kansal;Tongtong Zhao;Shanshan Zhao
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Cited by: Papers (19)
Image relighting is attracting increasing interest due to its various applications. From a research perspective, im-age relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It also has multiple direct uses for photo montage and aesthetic enhancement. In this paper, we review the NTIRE 2021 depth guided image relighting challenge.We ...Show More
NTIRE 2021 Depth Guided Image Relighting Challenge
Majed El Helou;Ruofan Zhou;Sabine Süsstrunk;Radu Timofte;Maitreya Suin;A. N. Rajagopalan;Yuanzhi Wang;Tao Lu;Yanduo Zhang;Yuntao Wu;Hao-Hsiang Yang;Wei-Ting Chen;Sy-Yen Kuo;Hao-Lun Luo;Zhiguang Zhang;Zhipeng Luo;Jianye He;Zuo-Liang Zhu;Zhen Li;Jia-Xiong Qiu;Zeng-Sheng Kuang;Cheng-Ze Lu;Ming-Ming Cheng;Xiu-Li Shao;Chenghua Li;Bosong Ding;Wanli Qian;Fangya Li;Fu Li;Ruifeng Deng;Tianwei Lin;Songhua Liu;Xin Li;Dongliang He;Amirsaeed Yazdani;Tiantong Guo;Vishal Monga;Ntumba Elie Nsampi;Zhongyun Hu;Qing Wang;Sabari Nathan;Priya Kansal;Tongtong Zhao;Shanshan Zhao
Year: 2021 | Conference Paper |
LTNet: Light Transfer Network for Depth Guided Image Relighting
Yu Zhu;Bosong Ding;Chenghua Li;Wanli Qian;Fangya Li;Yiheng Yao;Ruipeng Gang;Chunjie Zhang;Jian Cheng
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Relighting is an interesting yet challenging low-level vision problem, which aims to re-render the scene with new light sources. In this paper, we introduce LTNet, a novel framework for image relighting. Unlike previous methods, we propose to solve this challenging problem by decoupling the enhancement process. Specifically, we propose to train a network that focuses on learning light variations. ...Show More
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