awesome-low-light-image-enhancement
github.com/zhihongz/awesome-low-light-image-enhancement ↗This is a resouce list for low light image enhancement
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me he-based methods resources from awesome-low-light-image-enhancement"
Installation instructions →What's inside
Methods
Datasets
- DID
A high-quality low-light video dataset with multiple exposures and cameras
- DRV
202 paired raw low-light image Dataset
- ExDARK
A collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions) with 12 object classes (similar to PASCAL VOC) annotated on both image class level and local object bounding boxes.
- LIME
A small amount of unpaired images for testing.
- LLIV-Phone
The images and videos are taken by various phones' cameras under diverse illumination conditions and scenes
- LOL
Deep Retinex Decomposition for Low-Light Enhancement
More reference
Showing a sample of 196 resources. View the full list on GitHub →