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相关论文: NTIRE 2025 the 2nd Restore Any Image Model (RAIM) …

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In this paper, we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild, including real-world images with/without reference ground truth…

计算机视觉与模式识别 · 计算机科学 2024-05-17 Jie Liang , Radu Timofte , Qiaosi Yi , Shuaizheng Liu , Lingchen Sun , Rongyuan Wu , Xindong Zhang , Hui Zeng , Lei Zhang

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…

In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite significant advancements in deep learning for image restoration,…

This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchmark that targets a practical yet difficult HDR imaging setting, where exposure…

We introduce the AIM 2025 Real-World RAW Image Denoising Challenge, aiming to advance efficient and effective denoising techniques grounded in data synthesis. The competition is built upon a newly established evaluation benchmark featuring…

计算机视觉与模式识别 · 计算机科学 2025-10-09 Feiran Li , Jiacheng Li , Marcos V. Conde , Beril Besbinar , Vlad Hosu , Daisuke Iso , Radu Timofte

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 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 reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire patterns from…

This paper presents the NTIRE 2025 image super-resolution ($\times$4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to recover high-resolution (HR) images from low-resolution (LR)…

计算机视觉与模式识别 · 计算机科学 2025-04-30 Zheng Chen , Kai Liu , Jue Gong , Jingkai Wang , Lei Sun , Zongwei Wu , Radu Timofte , Yulun Zhang , Xiangyu Kong , Xiaoxuan Yu , Hyunhee Park , Suejin Han , Hakjae Jeon , Dafeng Zhang , Hyung-Ju Chun , Donghun Ryou , Inju Ha , Bohyung Han , Lu Zhao , Yuyi Zhang , Pengyu Yan , Jiawei Hu , Pengwei Liu , Fengjun Guo , Hongyuan Yu , Pufan Xu , Zhijuan Huang , Shuyuan Cui , Peng Guo , Jiahui Liu , Dongkai Zhang , Heng Zhang , Huiyuan Fu , Huadong Ma , Yanhui Guo , Sisi Tian , Xin Liu , Jinwen Liang , Jie Liu , Jie Tang , Gangshan Wu , Zeyu Xiao , Zhuoyuan Li , Yinxiang Zhang , Wenxuan Cai , Vijayalaxmi Ashok Aralikatti , Nikhil Akalwadi , G Gyaneshwar Rao , Chaitra Desai , Ramesh Ashok Tabib , Uma Mudenagudi , Marcos V. Conde , Alejandro Merino , Bruno Longarela , Javier Abad , Weijun Yuan , Zhan Li , Zhanglu Chen , Boyang Yao , Aagam Jain , Milan Kumar Singh , Ankit Kumar , Shubh Kawa , Divyavardhan Singh , Anjali Sarvaiya , Kishor Upla , Raghavendra Ramachandra , Chia-Ming Lee , Yu-Fan Lin , Chih-Chung Hsu , Risheek V Hiremath , Yashaswini Palani , Yuxuan Jiang , Qiang Zhu , Siyue Teng , Fan Zhang , Shuyuan Zhu , Bing Zeng , David Bull , Jingwei Liao , Yuqing Yang , Wenda Shao , Junyi Zhao , Qisheng Xu , Kele Xu , Sunder Ali Khowaja , Ik Hyun Lee , Snehal Singh Tomar , Rajarshi Ray , Klaus Mueller , Sachin Chaudhary , Surya Vashisth , Akshay Dudhane , Praful Hambarde , Satya Naryan Tazi , Prashant Patil , Santosh Kumar Vipparthi , Subrahmanyam Murala , Bilel Benjdira , Anas M. Ali , Wadii Boulila , Zahra Moammeri , Ahmad Mahmoudi-Aznaveh , Ali Karbasi , Hossein Motamednia , Liangyan Li , Guanhua Zhao , Kevin Le , Yimo Ning , Haoxuan Huang , Jun Chen

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…

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 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 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 2025 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on generating natural, realistic outputs while maintaining…

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…

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…

计算机视觉与模式识别 · 计算机科学 2021-04-28 Majed El Helou , Ruofan Zhou , Sabine Susstrunk , Radu Timofte

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 reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a…

图像与视频处理 · 电气工程与系统科学 2020-05-08 Boaz Arad , Radu Timofte , Ohad Ben-Shahar , Yi-Tun Lin , Graham Finlayson , Shai Givati , others
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