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Efficient All-in-One Weather Restoration using Spectral Harmonization

Paper recorded by Signals 4 on 2026-09-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CV · 计算机视觉 · first seen 2026-09-03

Abstract

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 a

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#163 most recent of 237 cs.CV papers we have recorded · ↑ newer: RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and · ↓ older: Benchmarking RAW and RGB Restoration in Image Signal Processors
Cite this page: Efficient All-in-One Weather Restoration using Spectral Harmonization: the #163 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-all-in-one-weather-restoration-using-spectral-harmonization.html
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