sczhou / lednet

Joint Low-light Enhancement and Deblurring in the Dark

  • Public
  • 21K runs
  • GitHub
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.031 to run on Replicate, or 32 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 138 seconds. The predict time for this model varies significantly based on the inputs.

Readme

LEDNet: Joint Low-light Enhancement and Deblurring in the Dark [ECCV 2022]

Paper | Project Page | Video

  🚀 LEDNet is a practical algorithm that enhances the quality of nighttime images by boosting luminance and removing blur.

If LEDNet is helpful, please help to ⭐ the [Github Repo]. Thanks!

📋 License This project is licensed under S-Lab License 1.0. Redistribution and use for non-commercial purposes should follow this license.

📝 Citation If our work is useful for your research, please consider citing:

@InProceedings{zhou2022lednet,
    author = {Zhou, Shangchen and Li, Chongyi and Loy, Chen Change},
    title = {LEDNet: Joint Low-light Enhancement and Deblurring in the Dark},
    booktitle = {ECCV},
    year = {2022}
}