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Found 3 papers, 2 papers with code
ReCo-Diff: Explore Retinex-Based Condition Strategy in Diffusion Model for Low-Light Image Enhancement
Low-light image enhancement (LLIE) has achieved promising performance by employing conditional diffusion models.
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
To address this issue, we propose a novel semantic-aware knowledge-guided framework (SKF) that can assist a low-light enhancement model in learning rich and diverse priors encapsulated in a semantic segmentation model.
Ranked #3 on
Low-Light Image Enhancement
on LOLv2
Breaking Free from Fusion Rule: A Fully Semantic-driven Infrared and Visible Image Fusion
To address these challenges, in this letter, we develop a semantic-level fusion network to sufficiently utilize the semantic guidance, emancipating the experimental designed fusion rules.
