Abstract
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 this https URL.
Abstract (translated)
本文回顾了NTIRE 2025挑战赛，该赛事专注于日间和夜间雨滴去除在双聚焦图像中的应用。本次挑战吸引了众多出色的解决方案，这些方案使用我们收集的现实世界Raindrop Clarity数据集进行开发和评估。与现有的去雨数据集不同，我们的Raindrop Clarity数据集在退化类型和内容上更具多样性和挑战性，包括日间雨滴聚焦、日间背景聚焦、夜间雨滴聚焦和夜间背景聚焦等退化情况。 该数据集被分为三个子集用于比赛：14,139张图片用于训练，240张图片用于验证，以及731张图片用于测试。本次挑战的主要目标是为在不同光照和聚焦条件下去除雨滴的任务建立新的强有力基准。总共有361名参赛者参加此次竞赛，其中32支队伍提交了有效解决方案和事实表格以参与最终测试阶段。这些提交方案在Raindrop Clarity数据集上实现了最先进的（SOTA）性能。 该项目的网址为 [此处插入具体URL]。
URL
https://arxiv.org/abs/2504.12711
