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Various depth estimation models are now widely used on many mobile and IoT devices for image segmentation, bokeh effect rendering, object tracking and many other mobile tasks. Thus, it is very crucial to have efficient and accurate depth…

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…

Computer Vision and Pattern Recognition · Computer Science 2022-06-24 Jinjin Gu , Haoming Cai , Chao Dong , Jimmy S. Ren , Radu Timofte

The de-identification (deID) of protected health information (PHI) and personally identifiable information (PII) is a fundamental requirement for sharing medical images, particularly through public repositories, to ensure compliance with…

Under-Display Camera (UDC) has been widely exploited to help smartphones realize full screen display. However, as the screen could inevitably affect the light propagation process, the images captured by the UDC system usually contain flare,…

Image and Video Processing · Electrical Eng. & Systems 2022-09-13 Xina Liu , Jinfan Hu , Xiangyu Chen , Chao Dong

Image de-identification is essential for the public sharing of medical images, particularly in the widely used Digital Imaging and Communications in Medicine (DICOM) format as required by various regulations and standards, including Health…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Hongzhu Jiang , Sihan Xie , Zhiyu Wan

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

Even though an Under-Display Camera (UDC) is an advanced imaging system, the display panel significantly degrades captured images or videos, introducing low transmittance, blur, noise, and flare issues. Tackling such issues is challenging…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Kyusu Ahn , JiSoo Kim , Sangik Lee , HyunGyu Lee , Byeonghyun Ko , Chanwoo Park , Jaejin Lee

Introduction: We describe the foundation of PETRIC, an image reconstruction challenge to minimise the computational runtime of related algorithms for Positron Emission Tomography (PET). Purpose: Although several similar challenges are…

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technologies that can classify and detect objects in images…

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

Recent development of Under-Display Camera (UDC) systems provides a true bezel-less and notch-free viewing experience on smartphones (and TV, laptops, tablets), while allowing images to be captured from the selfie camera embedded…

Computer Vision and Pattern Recognition · Computer Science 2021-04-21 Ruicheng Feng , Chongyi Li , Huaijin Chen , Shuai Li , Chen Change Loy , Jinwei Gu

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 AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and semantically guided image…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 Evangelos Ntavelis , Andrés Romero , Siavash Bigdeli , Radu Timofte

In this paper, we present the Multi-Forgery Detection Challenge held concurrently with the IEEE Computer Society Workshop on Biometrics at CVPR 2022. Our Multi-Forgery Detection Challenge aims to detect automatic image manipulations…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Jianshu Li , Man Luo , Jian Liu , Tao Chen , Chengjie Wang , Ziwei Liu , Shuo Liu , Kewei Yang , Xuning Shao , Kang Chen , Boyuan Liu , Mingyu Guo , Ying Guo , Yingying Ao , Pengfei Gao

Image restoration, which aims to retrieve and enhance degraded images, is fundamental across a wide range of applications. While conventional deep learning approaches have notably improved the image quality across various tasks, they still…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Zilong Li , Yiming Lei , Chenglong Ma , Junping Zhang , Hongming Shan

This study delves into the enhancement of Under-Display Camera (UDC) image restoration models, focusing on their robustness against adversarial attacks. Despite its innovative approach to seamless display integration, UDC technology faces…

Image and Video Processing · Electrical Eng. & Systems 2024-11-04 Zhenbo Song , Zhenyuan Zhang , Kaihao Zhang , Zhaoxin Fan , Jianfeng Lu

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 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…

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