Hugging Face Trending Papers
Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network
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arXiv Computer Vision
1d ago
Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network
arXiv:2609.02434v1 Announce Type: new Abstract: Restoring images degraded by adverse weather remains challenging due to spatially heterogeneous degradations. Many existing weather-specific restoratio...
Hugging Face Trending Papers
Jul 30
CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration
Remote sensing images acquired by unmanned aerial vehicles (UAVs) and satellites are often degraded by adverse weather, illumination variation, and imaging artifacts, which may co-occur and jointly induce global distribution shifts and local structural corruption. Although All-in-One image restoration offers an appealing unified alternative to task-specific pipelines, existing methods still suffer from weak or implicit degradation cues and parameter redundancy caused by full-rank multi-expert designs with overlapping restoration behaviors.
arXiv AI
Jun 3
X-Restormer++: 1st Place Solution for the UG2+ CVPR 2026 All-Weather Restoration Challenge
arXiv:2605. 13258v2 Announce Type: replace-cross Abstract: In this work, we present our winning solution for the 8th UG2+ Challenge (CVPR 2026) Track 1: Image Restoration under All-weather Conditions.
arXiv Computer Vision
1d ago
Efficient All-in-One Weather Restoration using Spectral Harmonization
arXiv:2609.02839v1 Announce Type: new Abstract: Adverse weather conditions such as rain, haze, and snow significantly degrade image quality, posing challenges for both human perception and physical A...
arXiv Computer Vision
Aug 21
Ultra-High-Definition Restoration Transformers with Correlation Matching Transformation
arXiv:2608. 20263v1 Announce Type: new Abstract: We propose UHDformer++, a general Transformer-based framework to solve numerous Ultra-High-Definition (UHD) image restoration tasks.
arXiv Computer Vision
2d ago
ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image Restoration
arXiv:2609.00811v1 Announce Type: new Abstract: Flow Matching provides an efficient generative prior for image restoration by learning continuous transport between source and data distributions. Howe...