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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 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 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 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 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 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 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 reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This…

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 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…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Nicolas Chahine , Marcos V. Conde , Daniela Carfora , Gabriel Pacianotto , Benoit Pochon , Sira Ferradans , 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 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 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 reviews the AIM 2019 challenge on constrained example-based single image super-resolution with focus on proposed solutions and results. The challenge had 3 tracks. Taking the three main aspects (i.e., number of parameters,…

This paper provides a review of the NTIRE 2026 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on generating natural and realistic outputs while maintaining…

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to identify robust reconstruction pipelines that are robust…