Abstract
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs using prior information. The LR images originate from bicubic downsampling degradation. The aim of the challenge is to obtain designs/solutions with the most advanced SR performance, with no constraints on computational resources (e.g., model size and FLOPs) or training data. The track of this challenge assesses performance with the PSNR metric on the DIV2K testing dataset. The competition attracted 199 registrants, with 20 teams submitting valid entries. This collective endeavour not only pushes the boundaries of performance in single-image SR but also offers a comprehensive overview of current trends in this field.
Abstract (translated)
本文回顾了NTIRE 2024图像超分辨率（$\times$4）挑战，重点介绍所提出的解决方案和获得的结果。挑战包括利用先验信息生成相应的高分辨率（HR）图像，并将其放大四倍。LR图像来源于位减低分辨率。挑战的目的是获得具有最先进SR性能的设计/解决方案，无关于计算资源（例如模型大小和FLOPs）或训练数据。挑战的跟踪评估了DIV2K测试数据集上的PSNR指标的性能。竞争吸引了199个注册者，其中20个团队提交了有效的参赛作品。这一集体努力不仅推动了单图像SR性能的边界，而且为该领域提供了全面的趋势概述。
URL
https://arxiv.org/abs/2404.09790
