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This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions during the final evaluation phase. Following the last two…

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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 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…

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This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results. This challenge aims to obtain an efficient deep neural network capable of estimating the perceptual quality of real…

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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

This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This challenge is held to…

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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 an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal of this challenge was to develop detection models capable of…

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…

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 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…

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 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

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 NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter,…

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