In ECCV 2024

This repository represents the official implementation of the paper titled GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval. If you find this repo useful, please give it a star ⭐ and consider citing our paper in your research. Thank you.

We present GLARE, a novel network for low-light image enhancement.

• Codebook-based LLIE: exploit normal-light (NL) images to extract NL codebook prior as the guidance.
• Generative Feature Learning: develop an invertible latent normalizing flow strategy for feature alignment.
• Adaptive Feature Transformation: adaptively introduces input information into the decoding process and allows flexible adjustments for users.
• Future: network structure can be meticulously optimized to improve efficiency and performance in the future.