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Related papers: NTIRE 2021 Challenge on Image Deblurring

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Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition…

Computer Vision and Pattern Recognition · Computer Science 2020-05-12 Seungjun Nah , Sanghyun Son , Radu Timofte , Kyoung Mu Lee

This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire patterns from…

This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-based method that…

This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this challenge is to identify effective networks capable of…

Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution. We present…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Sanghyun Son , Suyoung Lee , Seungjun Nah , Radu Timofte , Kyoung Mu Lee

This paper presents a comprehensive review of the AIM 2025 High FPS Non-Uniform Motion Deblurring Challenge, highlighting the proposed solutions and final results. The objective of this challenge is to identify effective networks capable of…

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It…

Computer Vision and Pattern Recognition · Computer Science 2021-04-28 Majed El Helou , Ruofan Zhou , Sabine Susstrunk , Radu Timofte

In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-21 Longguang Wang , Yulan Guo , Yingqian Wang , Juncheng Li , Shuhang Gu , Radu Timofte

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…

This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2021. This manuscript focuses on the newly…

Computer Vision and Pattern Recognition · Computer Science 2021-06-04 Eduardo Pérez-Pellitero , Sibi Catley-Chandar , Aleš Leonardis , Radu Timofte

This paper reviews the AIM 2025 Efficient Real-World Deblurring using Single Images Challenge, which aims to advance in efficient real-blur restoration. The challenge is based on a new test set based on the well known RSBlur dataset. Pairs…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Daniel Feijoo , Paula Garrido-Mellado , Marcos V. Conde , Jaesung Rim , Alvaro Garcia , Sunghyun Cho , Radu Timofte

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are…

This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality…

This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper describes the challenge, and focuses on the proposed solutions…

This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Longguang Wang , Yulan Guo , Juncheng Li , Hongda Liu , Yang Zhao , Yingqian Wang , Zhi Jin , Shuhang Gu , Radu Timofte

This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchmark that targets a practical yet difficult HDR imaging setting, where exposure…

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…

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 challenge is a new version of the previous NTIRE 2019 challenge on real image…

This paper presents the NTIRE 2026 image super-resolution ($\times$4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Zheng Chen , Kai Liu , Jingkai Wang , Xianglong Yan , Jianze Li , Ziqing Zhang , Jue Gong , Jiatong Li , Lei Sun , Xiaoyang Liu , Radu Timofte , Yulun Zhang , Jihye Park , Yoonjin Im , Hyungju Chun , Hyunhee Park , MinKyu Park , Zheng Xie , Xiangyu Kong , Weijun Yuan , Zhan Li , Qiurong Song , Luen Zhu , Fengkai Zhang , Xinzhe Zhu , Junyang Chen , Congyu Wang , Yixin Yang , Zhaorun Zhou , Jiangxin Dong , Jinshan Pan , Shengwei Wang , Jiajie Ou , Baiang Li , Sizhuo Ma , Qiang Gao , Jusheng Zhang , Jian Wang , Keze Wang , Yijiao Liu , Yingsi Chen , Hui Li , Yu Wang , Congchao Zhu , Saeed Ahmad , Ik Hyun Lee , Jun Young Park , Ji Hwan Yoon , Kainan Yan , Zian Wang , Weibo Wang , Shihao Zou , Chao Dong , Wei Zhou , Linfeng Li , Jaeseong Lee , Jaeho Chae , Jinwoo Kim , Seonjoo Kim , Yucong Hong , Zhenming Yan , Junye Chen , Ruize Han , Song Wang , Yuxuan Jiang , Chengxi Zeng , Tianhao Peng , Fan Zhang , David Bull , Tongyao Mu , Qiong Cao , Yifan Wang , Youwei Pan , Leilei Cao , Xiaoping Peng , Wei Deng , Yifei Chen , Wenbo Xiong , Xian Hu , Yuxin Zhang , Xiaoyun Cheng , Yang Ji , Zonghao Chen , Zhihao Xue , Junqin Hu , Nihal Kumar , Snehal Singh Tomar , Klaus Mueller , Surya Vashisth , Prateek Shaily , Jayant Kumar , Hardik Sharma , Ashish Negi , Sachin Chaudhary , Akshay Dudhane , Praful Hambarde , Amit Shukla , Shijun Shi , Jiangning Zhang , Yong Liu , Kai Hu , Jing Xu , Xianfang Zeng , Amitesh M , Hariharan S , Chia-Ming Lee , Yu-Fan Lin , Chih-Chung Hsu , Nishalini K , Sreenath K A , Bilel Benjdira , Anas M. Ali , Wadii Boulila , Shuling Zheng , Zhiheng Fu , Feng Zhang , Zhanglu Chen , Boyang Yao , Nikhil Pathak , Aagam Jain , Milan Kumar , Kishor Upla , Vivek Chavda , Sarang N S , Raghavendra Ramachandra , Zhipeng Zhang , Qi Wang , Shiyu Wang , Jiachen Tu , Guoyi Xu , Yaoxin Jiang , Jiajia Liu , Yaokun Shi , Yuqi Li , Chuanguang Yang , Weilun Feng , Zhuzhi Hong , Hao Wu , Junming Liu , Yingli Tian , Amish Bhushan Kulkarni , Tejas R R Shet , Saakshi M Vernekar , Nikhil Akalwadi , Kaushik Mallibhat , Ramesh Ashok Tabib , Uma Mudenagudi , Yuwen Pan , Tianrun Chen , Deyi Ji , Qi Zhu , Lanyun Zhu , Heyan Zhangyi

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of the challenge is to identify effective networks capable of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Xiaoning Liu , Zongwei Wu , Florin-Alexandru Vasluianu , Hailong Yan , Bin Ren , Yulun Zhang , Shuhang Gu , Le Zhang , Ce Zhu , Radu Timofte , Kangbiao Shi , Yixu Feng , Tao Hu , Yu Cao , Peng Wu , Yijin Liang , Yanning Zhang , Qingsen Yan , Han Zhou , Wei Dong , Yan Min , Mohab Kishawy , Jun Chen , Pengpeng Yu , Anjin Park , Seung-Soo Lee , Young-Joon Park , Zixiao Hu , Junyv Liu , Huilin Zhang , Jun Zhang , Fei Wan , Bingxin Xu , Hongzhe Liu , Cheng Xu , Weiguo Pan , Songyin Dai , Xunpeng Yi , Qinglong Yan , Yibing Zhang , Jiayi Ma , Changhui Hu , Kerui Hu , Donghang Jing , Tiesheng Chen , Zhi Jin , Hongjun Wu , Biao Huang , Haitao Ling , Jiahao Wu , Dandan Zhan , G Gyaneshwar Rao , Vijayalaxmi Ashok Aralikatti , Nikhil Akalwadi , Ramesh Ashok Tabib , Uma Mudenagudi , Ruirui Lin , Guoxi Huang , Nantheera Anantrasirichai , Qirui Yang , Alexandru Brateanu , Ciprian Orhei , Cosmin Ancuti , Daniel Feijoo , Juan C. Benito , Álvaro García , Marcos V. Conde , Yang Qin , Raul Balmez , Anas M. Ali , Bilel Benjdira , Wadii Boulila , Tianyi Mao , Huan Zheng , Yanyan Wei , Shengeng Tang , Dan Guo , Zhao Zhang , Sabari Nathan , K Uma , A Sasithradevi , B Sathya Bama , S. Mohamed Mansoor Roomi , Ao Li , Xiangtao Zhang , Zhe Liu , Yijie Tang , Jialong Tang , Zhicheng Fu , Gong Chen , Joe Nasti , John Nicholson , Zeyu Xiao , Zhuoyuan Li , Ashutosh Kulkarni , Prashant W. Patil , Santosh Kumar Vipparthi , Subrahmanyam Murala , Duan Liu , Weile Li , Hangyuan Lu , Rixian Liu , Tengfeng Wang , Jinxing Liang , Chenxin Yu
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