SOURCE-LINKED INTELLIGENCE
Efficient All-in-One Weather Restoration using Spectral Harmonization
Adverse weather conditions such as rain, haze, and snow significantly degrade image quality, posing challenges for both human perception and physical AI. Existing restoration methods require large computational budgets, struggling to process high-resolution images and handle different degradations. In this paper, we present Frequency Reconstruction via Spectral Harmonization, a novel lightweight all-in-one restoration method that explicitly decomposes feature representations into high- and low-frequency components at each scale of a hierarchical encoder-decoder architecture. By combining spect
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T17:21:06.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.