TL;DR
Raindrop Clarity introduces a comprehensive dataset with daytime and nighttime images focused on raindrops, enabling improved research and algorithms for raindrop removal in diverse conditions.
Contribution
The paper presents a large-scale, real-world raindrop dataset with focus on both raindrops and backgrounds, including daytime and nighttime scenarios, addressing gaps in existing datasets.
Findings
Dataset contains 15,186 high-quality image pairs/triplets.
Includes both daytime and nighttime raindrop images.
Enables research on background-focused and raindrop-focused scenarios.
Abstract
Existing raindrop removal datasets have two shortcomings. First, they consist of images captured by cameras with a focus on the background, leading to the presence of blurry raindrops. To our knowledge, none of these datasets include images where the focus is specifically on raindrops, which results in a blurry background. Second, these datasets predominantly consist of daytime images, thereby lacking nighttime raindrop scenarios. Consequently, algorithms trained on these datasets may struggle to perform effectively in raindrop-focused or nighttime scenarios. The absence of datasets specifically designed for raindrop-focused and nighttime raindrops constrains research in this area. In this paper, we introduce a large-scale, real-world raindrop removal dataset called Raindrop Clarity. Raindrop Clarity comprises 15,186 high-quality pairs/triplets (raindrops, blur, and background) of…
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Taxonomy
MethodsDogecoin Customer Service Number +1-833-534-1729 · Diffusion · Focus
