Papers
1–4 of 4Retinex Meets Language: A Physics-Semantics-Guided Underwater Image Enhancement Network
Underwater images often suffer from severe degradation caused by light absorption and scattering, leading to color distortion, low contrast and reduced visibility. Existing Underwater Image Enhancemen...
Anchor then Polish for Low-light Enhancement
Low-light image enhancement is challenging due to entangled degradations, mainly including poor illumination, color shifts, and texture interference. Existing methods often rely on complex architectur...
Low-light Image Enhancement with Retinex Decomposition in Latent Space
Retinex theory provides a principled foundation for low-light image enhancement, inspiring numerous learning-based methods that integrate its principles. However, existing methods exhibits limitations...
Empowering Semantic-Sensitive Underwater Image Enhancement with VLM
In recent years, learning-based underwater image enhancement (UIE) techniques have rapidly evolved. However, distribution shifts between high-quality enhanced outputs and natural images can hinder sem...