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Tensorflow implementation of MIRNet for Low-light image enhancement

Home Page: https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1

Python 0.10% Jupyter Notebook 99.90%

mirnet's Introduction

MIRNet

Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement.

Lanuch Notebooks: Binder

Wandb Logs: https://wandb.ai/19soumik-rakshit96/mirnet

TFLite Variant of MIRNet: https://github.com/sayakpaul/MIRNet-TFLite.

TFLite Models on Tensorflow Hub: https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1.

Tensorflow JS Variant of MIRNet: https://github.com/Rishit-dagli/MIRNet-TFJS.

Result of Low-Light Image Enhancement

Trained on 128x128 patches

Wights Link: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing

Trained on 256x256 patches

Wights Link: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing

Citation

@misc{
    2003.06792,
    Author = {Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    Title = {Learning Enriched Features for Real Image Restoration and Enhancement},
    Year = {2020},
    Eprint = {arXiv:2003.06792},
}

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