albrateanu/ModalFormer
[2025] ModalFormer: Multimodal Transformer for Low-Light Image Enhancement
This project helps anyone working with images captured in poor lighting conditions. It takes underexposed, noisy, or low-contrast images and transforms them into clear, bright, and detailed versions. This is useful for photographers, security personnel, or anyone who needs to analyze visual data that wasn't captured in ideal light.
Use this if you need to dramatically improve the clarity and detail of images taken in very dark or poorly lit environments.
Not ideal if you're looking for a simple, in-browser image editor or a tool that primarily fixes color balance or minor imperfections in well-lit photos.
Stars
25
Forks
3
Language
Python
License
MIT
Category
Last pushed
Dec 06, 2025
Commits (30d)
0
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