Abstract
Raindrop removal is a challenging task in image processing. Removing raindrops while relying solely on a single image further increases the difficulty of the task. Common approaches include the detection of raindrop regions in the image, followed by performing a background restoration process conditioned on those regions. While various methods can be applied for the detection step, the most common architecture used for background restoration is the Generative Adversarial Network (GAN). Recent advances in the use of diffusion models have led to state-of-the-art image inpainting techniques. In this paper, we introduce a novel technique for raindrop removal from a single image using diffusion-based image inpainting.
Abstract (translated)
雨滴去除是图像处理中的一个挑战性任务。仅基于单幅图像来移除雨滴会进一步增加任务难度。常见的方法包括在图像中检测出雨滴区域，随后进行背景恢复过程，该过程依赖于这些雨滴所在的特定区域。尽管可以采用多种技术来进行检测步骤，但用于背景恢复的最常用架构是生成对抗网络（GAN）。最近，在扩散模型的应用方面取得了进展，这使得当前最佳的图像修复技术成为可能。在这篇论文中，我们介绍了一种新的单幅图像雨滴去除方法，该方法利用基于扩散模型的图像修复技术。
URL
https://arxiv.org/abs/2505.08190
