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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…

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

Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe…

Computer Vision and Pattern Recognition · Computer Science 2021-05-03 Seungjun Nah , Sanghyun Son , Suyoung Lee , Radu Timofte , Kyoung Mu Lee

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…

In this paper, we present a comprehensive overview of the NTIRE 2025 challenge on the 2nd Restore Any Image Model (RAIM) in the Wild. This challenge established a new benchmark for real-world image restoration, featuring diverse scenarios…

Image and Video Processing · Electrical Eng. & Systems 2025-06-03 Jie Liang , Radu Timofte , Qiaosi Yi , Zhengqiang Zhang , Shuaizheng Liu , Lingchen Sun , Rongyuan Wu , Xindong Zhang , Hui Zeng , Lei Zhang

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 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 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 introduces a novel dataset, called LCDMoire, which was created for the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. The dataset…

Computer Vision and Pattern Recognition · Computer Science 2019-11-07 Shanxin Yuan , Radu Timofte , Gregory Slabaugh , Ales Leonardis

A moire pattern in the images is resulting from high frequency patterns captured by the image sensor (colour filter array) that appear after demosaicing. These Moire patterns would appear in natural images of scenes with high frequency…

Computer Vision and Pattern Recognition · Computer Science 2020-04-22 D. Sabari Nathan , M. Parisa Beham , S. M. Md Mansoor Roomi

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 reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhancement (NTIRE) workshop at CVPR 2025. This challenge aims to…

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 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 an overview of the NTIRE 2025 Image Denoising Challenge ({\sigma} = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving…

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 reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2025. The aim of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Shuhao Han , Haotian Fan , Fangyuan Kong , Wenjie Liao , Chunle Guo , Chongyi Li , Radu Timofte , Liang Li , Tao Li , Junhui Cui , Yunqiu Wang , Yang Tai , Jingwei Sun , Jianhui Sun , Xinli Yue , Tianyi Wang , Huan Hou , Junda Lu , Xinyang Huang , Zitang Zhou , Zijian Zhang , Xuhui Zheng , Xuecheng Wu , Chong Peng , Xuezhi Cao , Trong-Hieu Nguyen-Mau , Minh-Hoang Le , Minh-Khoa Le-Phan , Duy-Nam Ly , Hai-Dang Nguyen , Minh-Triet Tran , Yukang Lin , Yan Hong , Chuanbiao Song , Siyuan Li , Jun Lan , Zhichao Zhang , Xinyue Li , Wei Sun , Zicheng Zhang , Yunhao Li , Xiaohong Liu , Guangtao Zhai , Zitong Xu , Huiyu Duan , Jiarui Wang , Guangji Ma , Liu Yang , Lu Liu , Qiang Hu , Xiongkuo Min , Zichuan Wang , Zhenchen Tang , Bo Peng , Jing Dong , Fengbin Guan , Zihao Yu , Yiting Lu , Wei Luo , Xin Li , Minhao Lin , Haofeng Chen , Xuanxuan He , Kele Xu , Qisheng Xu , Zijian Gao , Tianjiao Wan , Bo-Cheng Qiu , Chih-Chung Hsu , Chia-ming Lee , Yu-Fan Lin , Bo Yu , Zehao Wang , Da Mu , Mingxiu Chen , Junkang Fang , Huamei Sun , Wending Zhao , Zhiyu Wang , Wang Liu , Weikang Yu , Puhong Duan , Bin Sun , Xudong Kang , Shutao Li , Shuai He , Lingzhi Fu , Heng Cong , Rongyu Zhang , Jiarong He , Zhishan Qiao , Yongqing Huang , Zewen Chen , Zhe Pang , Juan Wang , Jian Guo , Zhizhuo Shao , Ziyu Feng , Bing Li , Weiming Hu , Hesong Li , Dehua Liu , Zeming Liu , Qingsong Xie , Ruichen Wang , Zhihao Li , Yuqi Liang , Jianqi Bi , Jun Luo , Junfeng Yang , Can Li , Jing Fu , Hongwei Xu , Mingrui Long , Lulin Tang

This paper presents the NTIRE 2025 image super-resolution ($\times$4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to recover high-resolution (HR) images from low-resolution (LR)…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Zheng Chen , Kai Liu , Jue Gong , Jingkai Wang , Lei Sun , Zongwei Wu , Radu Timofte , Yulun Zhang , Xiangyu Kong , Xiaoxuan Yu , Hyunhee Park , Suejin Han , Hakjae Jeon , Dafeng Zhang , Hyung-Ju Chun , Donghun Ryou , Inju Ha , Bohyung Han , Lu Zhao , Yuyi Zhang , Pengyu Yan , Jiawei Hu , Pengwei Liu , Fengjun Guo , Hongyuan Yu , Pufan Xu , Zhijuan Huang , Shuyuan Cui , Peng Guo , Jiahui Liu , Dongkai Zhang , Heng Zhang , Huiyuan Fu , Huadong Ma , Yanhui Guo , Sisi Tian , Xin Liu , Jinwen Liang , Jie Liu , Jie Tang , Gangshan Wu , Zeyu Xiao , Zhuoyuan Li , Yinxiang Zhang , Wenxuan Cai , Vijayalaxmi Ashok Aralikatti , Nikhil Akalwadi , G Gyaneshwar Rao , Chaitra Desai , Ramesh Ashok Tabib , Uma Mudenagudi , Marcos V. Conde , Alejandro Merino , Bruno Longarela , Javier Abad , Weijun Yuan , Zhan Li , Zhanglu Chen , Boyang Yao , Aagam Jain , Milan Kumar Singh , Ankit Kumar , Shubh Kawa , Divyavardhan Singh , Anjali Sarvaiya , Kishor Upla , Raghavendra Ramachandra , Chia-Ming Lee , Yu-Fan Lin , Chih-Chung Hsu , Risheek V Hiremath , Yashaswini Palani , Yuxuan Jiang , Qiang Zhu , Siyue Teng , Fan Zhang , Shuyuan Zhu , Bing Zeng , David Bull , Jingwei Liao , Yuqing Yang , Wenda Shao , Junyi Zhao , Qisheng Xu , Kele Xu , Sunder Ali Khowaja , Ik Hyun Lee , Snehal Singh Tomar , Rajarshi Ray , Klaus Mueller , Sachin Chaudhary , Surya Vashisth , Akshay Dudhane , Praful Hambarde , Satya Naryan Tazi , Prashant Patil , Santosh Kumar Vipparthi , Subrahmanyam Murala , Bilel Benjdira , Anas M. Ali , Wadii Boulila , Zahra Moammeri , Ahmad Mahmoudi-Aznaveh , Ali Karbasi , Hossein Motamednia , Liangyan Li , Guanhua Zhao , Kevin Le , Yimo Ning , Haoxuan Huang , Jun Chen

This paper focuses on addressing the issue of image demoireing. Unlike the large volume of existing studies that rely on learning from paired real data, we attempt to learn a demoireing model from unpaired real data, i.e., moire images…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 Yunshan Zhong , Yuyao Zhou , Yuxin Zhang , Fei Chao , Rongrong Ji

Moire patterns, unwanted color artifacts in images and videos, arise from the interference between spatially high-frequency scene contents and the spatial discrete sampling of digital cameras. Existing demoireing methods primarily rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Xuan Dong , Xiangyuan Sun , Xia Wang , Jian Song , Ya Li , Weixin Li
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