Learning Enriched Features for Real Image Restoration and Enhancement
Paper • 2003.06792 • Published
MIRNet
Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement.
Lanuch Notebooks: 
Wandb Logs: https://wandb.ai/19soumik-rakshit96/mirnet
Blog Post: https://keras.io/examples/vision/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.
Pre-trained Weights
Trained on 128x128 patches: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing
Trained on 256x256 patches: 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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# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Tonic/mirnet")