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Related papers: AIM 2020 Challenge on Real Image Super-Resolution:…

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This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge aims to recover high-resolution (HR) images from…

Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-29 Sanghyun Son , Jaerin Lee , Seungjun Nah , 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…

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…

In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of 4. This challenge develops…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Yingqian Wang , Longguang Wang , Zhengyu Liang , Jungang Yang , Radu Timofte , Yulan Guo

This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however,…

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 presents a comprehensive study and benchmark on Efficient Perceptual Super-Resolution (EPSR). While significant progress has been made in efficient PSNR-oriented super resolution, approaches focusing on perceptual quality metrics…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Bruno Longarela , Marcos V. Conde , Alvaro Garcia , Radu Timofte

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 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 $\times$4…

Computer Vision and Pattern Recognition · Computer Science 2022-05-12 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 Wu1 , 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 Gaoand Dengwen Zhouand 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 second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to-RGB mapping problem, where to goal was to map the original…

Super-Resolution (SR) is a critical task in computer vision, focusing on reconstructing high-resolution (HR) images from low-resolution (LR) inputs. The field has seen significant progress through various challenges, particularly in…

Image and Video Processing · Electrical Eng. & Systems 2025-07-02 Babak Naderi , Ross Cutler , Juhee Cho , Nabakumar Khongbantabam , Dejan Ivkovic

Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challenge on video temporal super-resolution (frame interpolation)…

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

Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR) image from a low-resolution (LR) observation, has been an active research topic in the area of image processing in recent decades. Particularly, deep…

Image and Video Processing · Electrical Eng. & Systems 2021-03-04 Honggang Chen , Xiaohai He , Linbo Qing , Yuanyuan Wu , Chao Ren , Ce Zhu

In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite significant advancements in deep learning for image restoration,…

This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-Resolution could be essential in modern Image Signal…

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 presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping (ITM). The challenge aimed to push forward the development of effective ITM algorithms for HDR image reconstruction from single LDR inputs,…