Open AccessPosted Content
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou,Ruofan Zhou,Sabine Süsstrunk,Radu Timofte,Mahmoud Afifi,Michael S. Brown,Kele Xu,Hengxing Cai,Yuzhong Liu,Li-Wen Wang,Zhi-Song Liu,Chu-Tak Li,Sourya Dipta Das,Nisarg Shah,Akashdeep Jassal,Tongtong Zhao,Shanshan Zhao,Sabari Nathan,M. Parisa Beham,R. Suganya,Qing Wang,Zhongyun Hu,Xin Huang,Yaning Li,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,Densen Puthussery,Hrishikesh P S,Melvin Kuriakose,C. V. Jiji,Yu Zhu,Liping Dong,Zhuolong Jiang,Chenghua Li,Cong Leng,Jian Cheng +36 more
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TLDR
The novel VIDIT dataset used in the AIM 2020 challenge and the different proposed solutions and final evaluation results over the 3 challenge tracks are presented.Abstract:
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evaluation results over the 3 challenge tracks. The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i.e., light source position). The goal of the second track was to estimate illumination settings, namely the color temperature and orientation, from a given image. Lastly, the third track dealt with any-to-any relighting, thus a generalization of the first track. The target color temperature and orientation, rather than being pre-determined, are instead given by a guide image. Participants were allowed to make use of their track 1 and 2 solutions for track 3. The tracks had 94, 52, and 56 registered participants, respectively, leading to 20 confirmed submissions in the final competition stage.read more
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Proceedings ArticleDOI
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
Jianrui Cai,Shuhang Gu,Radu Timofte,Lei Zhang,Xiao Liu,Ding Yukang,Dongliang He,Chao Li,Yi Fu,Shilei Wen,Ruicheng Feng,Jinjin Gu,Yu Qiao,Chao Dong,Dongwon Park,Se Young Chun,Sanghoon Yoon,Junhyung Kwak,Donghee Son,Syed Waqas Zamir,Aditya Arora,Salman H. Khan,Fahad Shahbaz Khan,Ling Shao,Zhengping Wei,Lei Liu,Hong Cai,Darui Li,Fujie Gao,Zheng Hui,Xiumei Wang,Xinbo Gao,Guoan Cheng,Ai Matsune,Qiuyu Li,Leilei Zhu,Huaijuan Zang,Shu Zhan,Yajun Qiu,Ruxin wang,Jiawei Li,Yongcheng Jing,Mingli Song,Pengju Liu,Kai Zhang,Jingdong Liu,Jiye Liu,Hongzhi Zhang,Wangmeng Zuo,Wenyi Tang,Jing Liu,Youngjung Kim,Changyeop Shin,Minbeom Kim,Sungho Kim,Pablo Navarrete Michelini,Hanwen Liu,Dan Zhu,Xuan Xu,Xin Li,Furui Bai,Xiaopeng Sun,Lin Zha,Yuanfei Huang,Wen Lu,Yanpeng Cao,Du Chen,Zewei He,Sun Anshun,Siliang Tang,Fan Hongfei,Xiang Li,Li Guo,Zhang Wenjie,Zhang Yumei,Qingwen He,Jinghui Qin,Lishan Huang,Yukai Shi,Pengxu Wei,Wushao Wen,Liang Lin,Jun Yu,Guochen Xie,Mengyan Li,Rong Chen,Xiaotong Luo,Chen Hong,Yanyun Qu,Cuihua Li,Zhi-Song Liu,Li-Wen Wang,Chu-Tak Li,Can Zhao,Bowen Li,Chung-Chi Tsai,Shang-Chih Chuang,Joon-Hee Choi,Joon-Soo Kim,Xiaoyun Jiang,Ze Pan,Qunbo Lv,Zheng Tan,Peidong He +103 more
TL;DR: The 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) is reviewed with a focus on proposed solutions and results and the state-of-the-art in real-world single image super- resolution.
Posted Content
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang,Martin Danelljan,Yawei Li,Radu Timofte,Jie Liu,Jie Tang,Gangshan Wu,Yu Zhu,Xiangyu He,Wenjie Xu,Chenghua Li,Cong Leng,Jian Cheng,Guangyang Wu,Wenyi Wang,Xiaohong Liu,Hengyuan Zhao,Xiangtao Kong,Jingwen He,Yu Qiao,Chao Dong,Xiaotong Luo,Liang Chen,Jiangtao Zhang,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,Xiaochuan Li,Zhiqiang Lang,Jiangtao Nie,Wei Wei,Lei Zhang,Abdul Muqeet,Jiwon Hwang,Subin Yang,JungHeum Kang,Sung-Ho Bae,Yongwoo Kim,Yanyun Qu,Geun-Woo Jeon,Jun-Ho Choi,Jun-Hyuk Kim,Jong-Seok Lee,Steven Marty,Eric Marty,Dongliang Xiong,Siang Chen,Lin Zha,Jiande Jiang,Xinbo Gao,Wen Lu,Haicheng Wang,Vineeth Bhaskara,Alex Levinshtein,Stavros Tsogkas,Allan D. Jepson,Xiangzhen Kong,Tongtong Zhao,Shanshan Zhao,Hrishikesh P S,Densen Puthussery,C. V. Jiji,Nan Nan,Shuai Liu,Jie Cai,Zibo Meng,Jiaming Ding,Chiu Man Ho,Xuehui Wang,Qiong Yan,Yuzhi Zhao,Long Chen,Long Sun,Wenhao Wang,Zhenbing Liu,Rushi Lan,Rao Muhammad Umer,Christian Micheloni +77 more
TL;DR: The AIM 2020 challenge on efficient single image super-resolution was to super-resolve an input image with a magnification factor x4 based on a set of prior examples of low and corresponding high resolution images with focus on the proposed solutions and results.
Posted Content
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results, defining the state-of-the-art for practical image signal processing pipeline modeling.
Book ChapterDOI
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou,Ruofan Zhou,Sabine Süsstrunk,Radu Timofte,Mahmoud Afifi,Michael S. Brown,Kele Xu,Hengxing Cai,Yuzhong Liu,Li-Wen Wang,Zhi-Song Liu,Chu-Tak Li,Sourya Dipta Das,Nisarg Shah,Akashdeep Jassal,Tongtong Zhao,Shanshan Zhao,Sabari Nathan,M. Parisa Beham,R. Suganya,Qing Wang,Zhongyun Hu,Xin Huang,Yaning Li,Maitreya Suin,Kuldeep Purohit,A. N. Rajagopalan,Densen Puthussery,P. S. Hrishikesh,Melvin Kuriakose,C. V. Jiji,Yu Zhu,Liping Dong,Zhuolong Jiang,Chenghua Li,Cong Leng,Jian Cheng +36 more
TL;DR: The AIM 2020 challenge on virtual image relighting and illumination estimation as discussed by the authors focused on one-to-one relighting, where the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation.
References
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Proceedings ArticleDOI
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
Shuhang Gu,Hanwen Liu,Dan Zhu,Tangxin Xie,Xin Yang,Chen Zhu,Jia Yu,Wenyu Sun,Xin Tao,Zijun Deng,Liying Lu,Martin Danelljan,Wenbo Li,Taian Guo,Xiaoyong Shen,Xuemiao Xu,Yu-Wing Tai,Jiaya Jia,Peng Yi,Zhongyuan Wang,Kui Jiang,Junjun Jiang,Radu Timofte,Jiayi Ma,Zhi-Song Liu,Li-Wen Wang,Chu-Tak Li,Wan-Chi Siu,Yui-Lam Chan,Ruofan Zhou,Majed Ei Helou,Kuldeep Purohit,Praveen Kandula,Muhammad Haris,Maitreya Suin,Rajagopalan A.N,Kazutoshi Akita,Greg Shakhnarovic,Norimichi Ukita,Pablo Navarrete Michelini,Wenbin Chen +40 more
TL;DR: This paper reviews the extreme video super-resolution challenge from the AIM 2019 workshop, with emphasis on submitted solutions and results.
Book ChapterDOI
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov,Radu Timofte,Ming Qian,Congyu Qiao,Jiamin Lin,Zhenyu Guo,Chenghua Li,Cong Leng,Jian Cheng,Juewen Peng,Xianrui Luo,Ke Xian,Zijin Wu,Zhiguo Cao,Densen Puthussery,C. V. Jiji,P. S. Hrishikesh,Melvin Kuriakose,Saikat Dutta,Sourya Dipta Das,Nisarg A. Shah,Kuldeep Purohit,Praveen Kandula,Maitreya Suin,A. N. Rajagopalan,M. B. Saagara,A. L. Minnu,A. R. Sanjana,S. Praseeda,Ge Wu,Xueqin Chen,Tengyao Wang,Max Zheng,Hulk Wong,Jay Zou +34 more
TL;DR: The second AIM realistic bokeh effect rendering challenge as discussed by the authors was the first attempt to learn a realistic shallow focus technique using a large-scale EBB! dataset consisting of 5K shallow/wide depth-of-field image pairs captured using the Canon 7D DSLR camera.
Book ChapterDOI
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov,Radu Timofte,Zhilu Zhang,Ming Liu,Haolin Wang,Wangmeng Zuo,Jiawei Zhang,Ruimao Zhang,Zhanglin Peng,Sijie Ren,Linhui Dai,Xiaohong Liu,Chengqi Li,Jun Chen,Yuichi Ito,Bhavya Vasudeva,Puneesh Deora,Umapada Pal,Zhenyu Guo,Yu Zhu,Tian Liang,Chenghua Li,Cong Leng,Zhihong Pan,Baopu Li,Byung-Hoon Kim,Joonyoung Song,Jong Chul Ye,JaeHyun Baek,Magauiya Zhussip,Yeskendir Koishekenov,Hwechul Cho Ye,Xin Liu,Xueying Hu,Jun Jiang,Jinwei Gu,Kai Li,Pengliang Tan,Bingxin Hou +38 more
TL;DR: The second AIM learned ISP challenge as mentioned in this paper focused on real-world RAW-to-RGB mapping problem, where the goal was to map the original low-quality RAW images captured by the Huawei P20 device to the same photos obtained with the Canon 5D DSLR camera.
Posted Content
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei,Hannan Lu,Radu Timofte,Liang Lin,Wangmeng Zuo,Zhihong Pan,Baopu Li,Teng Xi,Yanwen Fan,Gang Zhang,Jingtuo Liu,Han Junyu,Errui Ding,Tangxin Xie,Liang Cao,Yan Zou,Yi Shen,Jialiang Zhang,Yu Jia,Kaihua Cheng,Chenhuan Wu,Yue Lin,Cen Liu,Yunbo Peng,Xueyi Zou,Zhipeng Luo,Yuehan Yao,Zhenyu Xu,Syed Waqas Zamir,Aditya Arora,Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Keon Hee Ahn,Jun-Hyuk Kim,Jun-Ho Choi,Jong-Seok Lee,Tongtong Zhao,Shanshan Zhao,Yoseob Han,Byung Hoon Kim,Jae Hyun Baek,Haoning Wu,Dejia Xu,Bo Zhou,Wei Guan,Xiaobo Li,Chen Ye,Hao Li,Haoyu Zhong,Yukai Shi,Zhijing Yang,Xiaojun Yang,Xin Li,Xin Jin,Yaojun Wu,Yingxue Pang,Sen Liu,Zhi-Song Liu,Li-Wen Wang,Chu Tak Li,Marie-Paule Cani,Wan-Chi Siu,Yuanbo Zhou,Rao Muhammad Umer,Christian Micheloni,Xiaofeng Cong,Rajat Gupta,Feras Almasri,Thomas Vandamme,Olivier Debeir +70 more
TL;DR: This paper introduces the real image Super-Resolution challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020, and gauges the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.
Book ChapterDOI
AIM 2020 Challenge on Video Temporal Super-Resolution
Sanghyun Son,Jaerin Lee,Seungjun Nah,Radu Timofte,Kyoung Mu Lee,Yihao Liu,Liangbin Xie,Li Siyao,Wenxiu Sun,Yu Qiao,Chao Dong,Woonsung Park,Wonyong Seo,Munchurl Kim,Wenhao Zhang,Pablo Navarrete Michelini,Kazutoshi Akita,Norimichi Ukita +17 more
TL;DR: This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis, and proposes the enhanced quadratic video interpolation method.