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Multi-view Self-supervised Disentanglement for General Image Denoising


Hao ChenChenyuan QuYu ZhangChen ChenJianbo Jiao
University of Birmingham & Shanghai Jiao Tong University & University of Central Florida


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Updates

  • Opt 11, 2023: Training and Test code release 🚧
  • Sept 10, 2023: MeD paper is available in Arxiv, or ICCV version 📖
  • Aug 17, 2023: Don’t forget to visit our Website for more interactive visualization examples~ 🤣
  • July 14, 2023: MeD is accepted by ICCV'23 🎉

Train & Test

Run the following scripts for train and test

bash scripts/train/MeD_multi.sh              
bash scripts/test/test_from_path.sh

Experiment Results

Gaussian Noise and Beyond Removal Table

table

Real Noise Removal Examples

table

Citation

If you find our repository useful for your research, please consider citing our paper:

@InProceedings{MeD_ICCV23,
    author    = {Chen, Hao and Qu, Chenyuan and Zhang, Yu and Chen, Chen and Jiao, Jianbo},
    title     = {Multi-view Self-supervised Disentanglement for General Image Denoising},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
}

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