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/OKNetPublic

[AAAI2024] Omni-Kernel Network for Image Restoration

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c-yn/OKNet

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Installation

The project is built with PyTorch 3.8, PyTorch 1.8.1. CUDA 10.2, cuDNN 7.6.5For installing, follow these instructions:

conda install pytorch=1.8.1 torchvision=0.9.1 -c pytorchpip install tensorboard einops scikit-image pytorch_msssim opencv-python

Install warmup scheduler:

cd pytorch-gradual-warmup-lr/python setup.py installcd ..

Please download pillow package using Conda instead of pip.

ITS FLOPs: 39.67G, Params: 4.72MTraining and testing details can be found in the individual directories.

Citation

@inproceedings{cui2024omni,  title={Omni-Kernel Network for Image Restoration},  author={Cui, Yuning and Ren, Wenqi and Knoll, Alois},  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},  volume={38},  number={2},  pages={1426--1434},  year={2024}}

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Should you have any question, please contact Yuning Cui.

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