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Research questionHow can image restoration remove varied weather degradations from high-resolution images under tight compute budgets?Rain, haze, and snow can obscure image content, while high-resolution inputs make restoration computationally expensive. A single restoration system must address these different degradations without exceeding available computing resources.
AI
Computer Vision
Image & Video Processing
Inference Optimization
Research Paper
Small / On-device Models
Technology
Latest papersRecent research connected to this question, newest first.Efficient All-in-One Weather Restoration using Spectral HarmonizationApplies to restoration of images degraded by rain, haze, or snow, including high-resolution inputs and constrained-resource systems. The source presents a lightweight hierarchical encoder-decoder with spectral decomposition and Fourier-based skip connections, reporting similar restoration quality with 80% fewer parameters and operations than transformer-based models.research paper · Sep 2, 2026
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