NTIRE 2026图像超分辨率挑战赛发布×4重建基准，分还原与感知双赛道。
The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview
- 分像素保真和视觉真实两个赛道，分别用PSNR和感知分数评估。
- 共31支队伍提交有效结果，194人注册，涵盖当前主流超分方法。
- 提供统一基准，推动超分辨率技术向真实感方向发展。
本文介绍在CVPR 2026期间举办的NTIRE 2026图像超分辨率（×4）挑战赛。该挑战旨在从通过双三次下采样生成的低分辨率（LR）输入中重建高分辨率（HR）图像，以推动高效超分辨率解决方案的发展并分析领域最新进展。为反映图像超分辨率目标的演变，挑战赛设置两个赛道：（1）恢复赛道，强调像素级保真度，依据PSNR排名；（2）感知赛道，关注视觉真实感，采用感知评分评估。共有194名参与者注册，31支团队提交有效参赛作品。本报告总结了挑战赛的设计、数据集、评估协议、主要结果及参赛方法。挑战赛提供了一个统一基准，揭示了当前图像超分辨率的技术进展与未来方向。
原文摘要 · Abstract (English)
This paper presents the NTIRE 2026 image super-resolution ($\times$4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a $\times$4 scaling factor. The objective is to develop effective super-resolution solutions and analyze recent advances in the field. To reflect the evolving objectives of image super-resolution, the challenge includes two tracks: (1) a restoration track, which emphasizes pixel-wise fidelity and ranks submissions based on PSNR; and (2) a perceptual track, which focuses on visual realism and evaluates results using a perceptual score. A total of 194 participants registered for the challenge, with 31 teams submitting valid entries. This report summarizes the challenge design, datasets, evaluation protocol, main results, and methods of participating teams. The challenge provides a unified benchmark and offers insights into current progress and future directions in image super-resolution.
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