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Found 4 papers, 1 papers with code
SALVE: Self-supervised Adaptive Low-light Video Enhancement
A self-supervised adaptive low-light video enhancement method, called SALVE, is proposed in this work.
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER consists of three modules: core generator, resolution enhancer, and quality booster.
Successive Subspace Learning: An Overview
Successive Subspace Learning (SSL) offers a light-weight unsupervised feature learning method based on inherent statistical properties of data units (e. g. image pixels and points in point cloud sets).
Noise-Aware Texture-Preserving Low-Light Enhancement
A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work.
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