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, magnified by a factor of four, from low-resolution (LR) inputs using prior information. The LR images originate from bicubic downsampling degradation. The aim of the challenge is to obtain designs/solutions with the most advanced SR performance, with no constraints on computational resources (e.g., model size and FLOPs) or training data. The track of this challenge assesses performance with the PSNR metric on the DIV2K testing dataset. The competition attracted 199 registrants, with 20 teams submitting valid entries. This collective endeavour not only pushes the boundaries of performance in single-image SR but also offers a comprehensive overview of current trends in this field.

翻译：本文回顾了NTIRE 2024图像超分辨率（×4）挑战赛，重点介绍了提出的解决方案及取得的成果。该挑战要求利用先验信息，从低分辨率（LR）输入生成放大四倍的高分辨率（HR）图像。LR图像源于双三次下采样退化。挑战旨在获得具有最先进超分辨率性能的设计/解决方案，且对计算资源（如模型规模与FLOPs）或训练数据不设限制。本挑战赛道采用DIV2K测试数据集上的PSNR指标评估性能。竞赛吸引了199名注册者，其中20支团队提交了有效作品。这一集体努力不仅推动了单图像超分辨率性能的边界，也全面揭示了该领域当前的发展趋势。