The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Abstract
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor of x4 based on pairs of low and corresponding high-resolution images. The primary objective is to develop networks that optimize various aspects such as runtime, parameters, and FLOPs, while still maintaining a peak signal-to-noise ratio (PSNR) of approximately 26.90 dB on the DIV2K_LSDIR_valid dataset and 26.99 dB on the DIV2K_LSDIR_test dataset. In addition, this challenge has 4 tracks including the main track (overall performance), sub-track 1 (runtime), sub-track 2 (FLOPs), and sub-track 3 (parameters). In the main track, all three metrics (ie runtime, FLOPs, and parameter count) were considered. The ranking of the main track is calculated based on a weighted sum-up of the scores of all other sub-tracks. In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking. In sub-track 2, the number of FLOPs was considered. The score calculated based on the corresponding FLOPs was used to determine the ranking. In sub-track 3, the number of parameters was considered. The score calculated based on the corresponding parameters was used to determine the ranking. RLFN is set as the baseline for efficiency measurement. The challenge had 262 registered participants, and 34 teams made valid submissions. They gauge the state-of-the-art in efficient single-image super-resolution. To facilitate the reproducibility of the challenge and enable other researchers to build upon these findings, the code and the pre-trained model of validated solutions are made publicly available at https://github.com/Amazingren/NTIRE2024_ESR/.
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Cite
@article{arxiv.2404.10343,
title = {The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report},
author = {Bin Ren and Yawei Li and Nancy Mehta and Radu Timofte and Hongyuan Yu and Cheng Wan and Yuxin Hong and Bingnan Han and Zhuoyuan Wu and Yajun Zou and Yuqing Liu and Jizhe Li and Keji He and Chao Fan and Heng Zhang and Xiaolin Zhang and Xuanwu Yin and Kunlong Zuo and Bohao Liao and Peizhe Xia and Long Peng and Zhibo Du and Xin Di and Wangkai Li and Yang Wang and Wei Zhai and Renjing Pei and Jiaming Guo and Songcen Xu and Yang Cao and Zhengjun Zha and Yan Wang and Yi Liu and Qing Wang and Gang Zhang and Liou Zhang and Shijie Zhao and Long Sun and Jinshan Pan and Jiangxin Dong and Jinhui Tang and Xin Liu and Min Yan and Qian Wang and Menghan Zhou and Yiqiang Yan and Yixuan Liu and Wensong Chan and Dehua Tang and Dong Zhou and Li Wang and Lu Tian and Barsoum Emad and Bohan Jia and Junbo Qiao and Yunshuai Zhou and Yun Zhang and Wei Li and Shaohui Lin and Shenglong Zhou and Binbin Chen and Jincheng Liao and Suiyi Zhao and Zhao Zhang and Bo Wang and Yan Luo and Yanyan Wei and Feng Li and Mingshen Wang and Yawei Li and Jinhan Guan and Dehua Hu and Jiawei Yu and Qisheng Xu and Tao Sun and Long Lan and Kele Xu and Xin Lin and Jingtong Yue and Lehan Yang and Shiyi Du and Lu Qi and Chao Ren and Zeyu Han and Yuhan Wang and Chaolin Chen and Haobo Li and Mingjun Zheng and Zhongbao Yang and Lianhong Song and Xingzhuo Yan and Minghan Fu and Jingyi Zhang and Baiang Li and Qi Zhu and Xiaogang Xu and Dan Guo and Chunle Guo and Jiadi Chen and Huanhuan Long and Chunjiang Duanmu and Xiaoyan Lei and Jie Liu and Weilin Jia and Weifeng Cao and Wenlong Zhang and Yanyu Mao and Ruilong Guo and Nihao Zhang and Qian Wang and Manoj Pandey and Maksym Chernozhukov and Giang Le and Shuli Cheng and Hongyuan Wang and Ziyan Wei and Qingting Tang and Liejun Wang and Yongming Li and Yanhui Guo and Hao Xu and Akram Khatami-Rizi and Ahmad Mahmoudi-Aznaveh and Chih-Chung Hsu and Chia-Ming Lee and Yi-Shiuan Chou and Amogh Joshi and Nikhil Akalwadi and Sampada Malagi and Palani Yashaswini and Chaitra Desai and Ramesh Ashok Tabib and Ujwala Patil and Uma Mudenagudi},
journal= {arXiv preprint arXiv:2404.10343},
year = {2024}
}
Comments
The report paper of NTIRE2024 Efficient Super-resolution, accepted by CVPRW2024