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NTIRE challenges push image super-resolution boundaries

The NTIRE 2024 and 2025 challenges on image super-resolution focused on enhancing low-resolution images by a factor of four. The 2024 challenge, with 20 teams submitting entries, primarily used PSNR for evaluation on the DIV2K dataset. The 2025 iteration expanded to include a perceptual track alongside the restoration track, attracting 25 teams and aiming to advance state-of-the-art performance in image super-resolution. AI

IMPACT These challenges benchmark progress in image super-resolution, driving advancements in AI models for image enhancement and restoration.

RANK_REASON The cluster consists of two arXiv papers detailing the methods and results of NTIRE image super-resolution challenges.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo… ·

    NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

    arXiv:2404.09790v2 Announce Type: replace Abstract: This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magni…

  2. arXiv cs.CV TIER_1 English(EN) · 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 Ya… ·

    NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

    arXiv:2504.14582v3 Announce Type: replace Abstract: 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-reso…