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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 presents an overview of the NTIRE 2025 Challenge on UGC Video Enhancement. The challenge constructed a set of 150 user-generated content videos without reference ground truth, which suffer from real-world degradations such as…

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR) do not go beyond factor 4. Missing information can be…

In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Assessment. Conventional Image Quality Assessment (IQA) typically…

This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track~2 targets the super-resolution of…

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 summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Longguang Wang , Yulan Guo , Juncheng Li , Hongda Liu , Yang Zhao , Yingqian Wang , Zhi Jin , Shuhang Gu , Radu Timofte

In the mobile communication field, some of the video applications boosted the interest of robust methods for video quality assessment. Out of all existing methods, We Preferred, No Reference Video Quality Assessment is the one which is most…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Amitesh Kumar Singam , Benny Lövström , Wlodek J. Kulesza

This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2025. The aim of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Shuhao Han , Haotian Fan , Fangyuan Kong , Wenjie Liao , Chunle Guo , Chongyi Li , Radu Timofte , Liang Li , Tao Li , Junhui Cui , Yunqiu Wang , Yang Tai , Jingwei Sun , Jianhui Sun , Xinli Yue , Tianyi Wang , Huan Hou , Junda Lu , Xinyang Huang , Zitang Zhou , Zijian Zhang , Xuhui Zheng , Xuecheng Wu , Chong Peng , Xuezhi Cao , Trong-Hieu Nguyen-Mau , Minh-Hoang Le , Minh-Khoa Le-Phan , Duy-Nam Ly , Hai-Dang Nguyen , Minh-Triet Tran , Yukang Lin , Yan Hong , Chuanbiao Song , Siyuan Li , Jun Lan , Zhichao Zhang , Xinyue Li , Wei Sun , Zicheng Zhang , Yunhao Li , Xiaohong Liu , Guangtao Zhai , Zitong Xu , Huiyu Duan , Jiarui Wang , Guangji Ma , Liu Yang , Lu Liu , Qiang Hu , Xiongkuo Min , Zichuan Wang , Zhenchen Tang , Bo Peng , Jing Dong , Fengbin Guan , Zihao Yu , Yiting Lu , Wei Luo , Xin Li , Minhao Lin , Haofeng Chen , Xuanxuan He , Kele Xu , Qisheng Xu , Zijian Gao , Tianjiao Wan , Bo-Cheng Qiu , Chih-Chung Hsu , Chia-ming Lee , Yu-Fan Lin , Bo Yu , Zehao Wang , Da Mu , Mingxiu Chen , Junkang Fang , Huamei Sun , Wending Zhao , Zhiyu Wang , Wang Liu , Weikang Yu , Puhong Duan , Bin Sun , Xudong Kang , Shutao Li , Shuai He , Lingzhi Fu , Heng Cong , Rongyu Zhang , Jiarong He , Zhishan Qiao , Yongqing Huang , Zewen Chen , Zhe Pang , Juan Wang , Jian Guo , Zhizhuo Shao , Ziyu Feng , Bing Li , Weiming Hu , Hesong Li , Dehua Liu , Zeming Liu , Qingsong Xie , Ruichen Wang , Zhihao Li , Yuqi Liang , Jianqi Bi , Jun Luo , Junfeng Yang , Can Li , Jing Fu , Hongwei Xu , Mingrui Long , Lulin Tang

Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to high-level semantic content. To effectively model these complicated…

Computer Vision and Pattern Recognition · Computer Science 2023-04-14 Kai Zhao , Kun Yuan , Ming Sun , Xing Wen

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 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…

Following the successful 2023 edition, we organised the Second Perception Test challenge as a half-day workshop alongside the IEEE/CVF European Conference on Computer Vision (ECCV) 2024, with the goal of benchmarking state-of-the-art video…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Joseph Heyward , João Carreira , Dima Damen , Andrew Zisserman , Viorica Pătrăucean

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

Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of the Compressed Video Quality Assessment challenge, held in…

This paper reviews the AIM 2019 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…

Video understanding is an important problem in computer vision. Currently, the well-studied task in this research is human action recognition, where the clips are manually trimmed from the long videos, and a single class of human action is…

Computer Vision and Pattern Recognition · Computer Science 2022-10-21 Yi Liu , Xuan Zhang , Ying Li , Guixin Liang , Yabing Jiang , Lixia Qiu , Haiping Tang , Fei Xie , Wei Yao , Yi Dai , Yu Qiao , Yali Wang

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…

How can we effectively engineer a computer vision system that is able to interpret videos from unconstrained mobility platforms like UAVs? One promising option is to make use of image restoration and enhancement algorithms from the area of…

Computer Vision and Pattern Recognition · Computer Science 2020-11-23 Sreya Banerjee , Rosaura G. VidalMata , Zhangyang Wang , Walter J. Scheirer

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…