Home

Awesome

<div align="center"> <h1>Wakeup-Darkness</h1> </div> <div align="center"> <img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/zhangbaijin/Wakeup-Darkness?color=green"> <img alt="GitHub top language" src="https://img.shields.io/github/languages/top/zhangbaijin/Wakeup-Darkness"> <img alt="GitHub issues" src="https://img.shields.io/github/issues/zhangbaijin/Wakeup-Darkness"> </div> <div align="center"> <img alt="GitHub watchers" src="https://img.shields.io/github/watchers/zhangbaijin/Wakeup-Darkness?style=social"> <img alt="GitHub stars" src="https://img.shields.io/github/stars/zhangbaijin/Wakeup-Darkness"> <img alt="GitHub forks" src="https://img.shields.io/github/forks/zhangbaijin/Wakeup-Darkness?style=social"> </div>

Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement

The structure

image

The grad-cam results about CSFF

image

Compare results of LOL dataset

image

Model

weights/ model.py fuse_block.py

Dataset processing

you should run the sam.py to produce the segment image like LOL/LIME/SCIE

Train and Test

python train.py --arc WithoutCalNet --batch_size 10

python test.py

python test_clip.py