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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 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 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 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 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 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 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 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

This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript focuses on the competition set-up, the proposed methods and…

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 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 presents a comprehensive review of the NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge, highlighting the proposed solutions and final outcomes. This challenge focuses on mobile image enhancement under…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Jiebin Yan , Chenyu Tu , Weixia Zhang , Zhihua Wang , Peibei Cao , Qinghua Lin , Yuming Fang , Xiaoning Liu , Zongwei Wu , Zhuyun Zhou , Radu Timofte

Deep learning based approaches has achieved great performance in single image super-resolution (SISR). However, recent advances in efficient super-resolution focus on reducing the number of parameters and FLOPs, and they aggregate more…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Fangyuan Kong , Mingxi Li , Songwei Liu , Ding Liu , Jingwen He , Yang Bai , Fangmin Chen , Lean Fu

Runtime and memory consumption are two important aspects for efficient image super-resolution (EISR) models to be deployed on resource-constrained devices. Recent advances in EISR exploit distillation and aggregation strategies with plenty…

Image and Video Processing · Electrical Eng. & Systems 2022-04-19 Zongcai Du , Ding Liu , Jie Liu , Jie Tang , Gangshan Wu , Lean Fu

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 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 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…