{"slug": "glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent", "title": "GLOW-FM: Efficient Generative Low-Light Image Enhancement with One-Step Latent Flow Matching", "summary": "Researchers introduced GLOW-FM, a generative low-light image enhancement method that uses one-step latent flow matching to avoid the costly iterative sampling of diffusion-based approaches. The work targets low-light image enhancement (LLIE), the task of recovering well-exposed, perceptually faithful images from severely degraded observations, and positions one-step latent flow matching as a more efficient alternative to diffusion models that achieve strong perceptual quality through powerful image priors but require many sampling steps.", "body_md": "Low-light image enhancement (LLIE) aims to recover well-exposed and perceptually faithful images from severely degraded observations. Recent diffusion-based generative methods achieve strong perceptual quality by leveraging powerful image priors, but their iterative sampling incurs substantial compu", "url": "https://wpnews.pro/news/glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent", "canonical_source": "https://aiflash.com/news/143941/", "published_at": "2026-11-02 08:30:00+00:00", "updated_at": "2026-11-02 08:50:45.328857+00:00", "lang": "en", "topics": ["computer-vision", "generative-ai", "machine-learning", "ai-research"], "entities": ["GLOW-FM"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent", "markdown": "https://wpnews.pro/news/glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent.md", "text": "https://wpnews.pro/news/glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent.txt", "jsonld": "https://wpnews.pro/news/glow-fm-efficient-generative-low-light-image-enhancement-with-one-step-latent.jsonld"}}