AI RESEARCH
WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
arXiv CS.CV
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ArXi:2604.06623v1 Announce Type: new Photographs taken in adverse weather conditions often suffer from blurriness, occlusion, and low brightness due to interference from rain, snow, and fog. These issues can significantly hinder the performance of subsequent computer vision tasks, making the removal of weather effects a crucial step in image enhancement. Existing methods primarily target specific weather conditions, with only a few capable of handling multiple weather scenarios.