{"id":15700349,"url":"https://github.com/soumik12345/mirnet","last_synced_at":"2025-04-15T11:52:46.430Z","repository":{"id":44354195,"uuid":"316827249","full_name":"soumik12345/MIRNet","owner":"soumik12345","description":"Tensorflow implementation of MIRNet for Low-light image enhancement","archived":false,"fork":false,"pushed_at":"2021-09-18T04:54:30.000Z","size":29265,"stargazers_count":114,"open_issues_count":5,"forks_count":37,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-28T19:44:59.285Z","etag":null,"topics":["computer-vision","deep-learning","image-restoration","low-light-image-enhancement","mirnet","streamlit","streamlit-webapp","tensorflow","tensorflow2"],"latest_commit_sha":null,"homepage":"https://huggingface.co/spaces/keras-io/Enhance_Low_Light_Image","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MIRNet\n\n[![](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/soumik12345/mirnet/app.py)\n\nTensorflow implementation of the MIRNet architecture as proposed by [Learning Enriched Features for Real Image\nRestoration and Enhancement](https://arxiv.org/pdf/2003.06792v2.pdf).\n\n**Lanuch Notebooks:** [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/soumik12345/MIRNet/HEAD)\n\n**Wandb Logs:** [https://wandb.ai/19soumik-rakshit96/mirnet](https://wandb.ai/19soumik-rakshit96/mirnet)\n\n**Blog Post:** [https://keras.io/examples/vision/mirnet/](https://keras.io/examples/vision/mirnet/)\n\n**TFLite Variant of MIRNet:** [https://github.com/sayakpaul/MIRNet-TFLite](https://github.com/sayakpaul/MIRNet-TFLite).\n\n**TFLite Models on Tensorflow Hub:** [https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1](https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1).\n\n**Tensorflow JS Variant of MIRNet:** [https://github.com/Rishit-dagli/MIRNet-TFJS](https://github.com/Rishit-dagli/MIRNet-TFJS).\n\n![](./assets/mirnet_architecture.png)\n\n![](./assets/lol_results.gif)\n\n## Pre-trained Weights\n\n- **Trained on 128x128 patches:** [https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing](https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing)\n\n- **Trained on 256x256 patches:** [https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing](https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing)\n\n## Citation\n\n```\n@misc{\n    2003.06792,\n    Author = {Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},\n    Title = {Learning Enriched Features for Real Image Restoration and Enhancement},\n    Year = {2020},\n    Eprint = {arXiv:2003.06792},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Fmirnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoumik12345%2Fmirnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoumik12345%2Fmirnet/lists"}