针对昼夜不同聚焦的雨滴图像，提出新基准数据集并评测先进去雨滴方法。
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
- 构建包含四种光照聚焦组合的真实雨滴退化数据集
- 32支队伍在731张测试图上达到当前最优性能
- 为复杂光照条件下的去雨滴任务提供新评估标准
本文回顾了NTIRE 2025年关于双聚焦图像昼夜雨滴去除的挑战赛。该挑战赛收到广泛而出色的解决方案，均基于我们收集的真实世界雨滴清晰度数据集进行开发与评估。与现有去雨数据集不同，本数据集在退化类型和内容上更具多样性和挑战性，涵盖白天雨滴聚焦、白天背景聚焦、夜晚雨滴聚焦和夜晚背景聚焦四类退化情况。数据集分为三个子集：训练用14,139张图像，验证用240张，测试用731张。挑战赛旨在建立该任务在不同光照与聚焦条件下的新基准。共有361名参与者，其中32支团队提交了有效的最终测试方案与报告。这些方案在雨滴清晰度数据集上取得了当前最优表现。项目主页：https://lixinustc.github.io/CVPR-NTIRE2025-RainDrop-Competition.github.io/
原文摘要 · Abstract (English)
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images. This challenge received a wide range of impressive solutions, which are developed and evaluated using our collected real-world Raindrop Clarity dataset. Unlike existing deraining datasets, our Raindrop Clarity dataset is more diverse and challenging in degradation types and contents, which includes day raindrop-focused, day background-focused, night raindrop-focused, and night background-focused degradations. This dataset is divided into three subsets for competition: 14,139 images for training, 240 images for validation, and 731 images for testing. The primary objective of this challenge is to establish a new and powerful benchmark for the task of removing raindrops under varying lighting and focus conditions. There are a total of 361 participants in the competition, and 32 teams submitting valid solutions and fact sheets for the final testing phase. These submissions achieved state-of-the-art (SOTA) performance on the Raindrop Clarity dataset. The project can be found at https://lixinustc.github.io/CVPR-NTIRE2025-RainDrop-Competition.github.io/.
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