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20242026
most citedAdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

9 citations · 11 across the 10 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CV2026

Efficient All-in-One Weather Restoration using Spectral Harmonization

Paula Garrido-Mellado, Daniel Feijoo, Yuning Cui +2

Adverse weather conditions such as rain, haze, and snow significantly degrade image quality, posing challenges for both human perception and physical AI. Existing restoration metho…

cs.CV2026

Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network

Zheke Jin, Yuning Cui, Tianle Jin +2

Restoring images degraded by adverse weather remains challenging due to spatially heterogeneous degradations. Many existing weather-specific restoration models rely on weather-agno…

cs.CV2026

Backbone-Agnostic Stochastic Perturbation Learning for End-to-End Real-World Image Dehazing

Bingcai Wei, Yuning Cui, Mingyu Liu +5

Real-world paired image dehazing remains challenging because haze degradation is spatially non-uniform, illumination-dependent, and physically ambiguous even when haze-free referen…

cs.CV2026

The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +89

This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…

cs.CV2026

Learning Spatially Adaptive Structural Coordination for Underwater Salient Object Detection

Lin Hong, Chenhui Wang, Linan Deng +6

Underwater salient object detection (USOD) has attracted increasing attention for underwater scene understanding and vision-guided robotic applications. However, the spatially non-…

cs.CV2026

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Yan Shu +60

This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a…

cs.CV2026

Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration

Chen Wu, Ling Wang, Zhuoran Zheng +6

Ultra-High-Definition (UHD) image restoration is trapped in a scalability crisis: existing models, bound to pixel-wise operations, demand unsustainable computation. While state spa…