Description

This repository contains the pre-trained diffusion models associated to the Denoising Diffusion Probabilistic Models (DDPM-CD) developed by Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel.

The optimized model is for unsupervised hyperspectral image restoration (HIRDiff) is developed by Li Pang, Xiangyu Rui, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao.

Credits

The repository associated to this data is available at: https://github.com/wgcban/ddpm-cd

The HIRDiff repository is available at: https://github.com/LiPang/HIRDiff

The original data was downloaded from: https://www.dropbox.com/scl/fo/eeeclganhghux3g657u6b/AOOeiz4h-Er9RAVD5a_t7GQ

Citation

For the original dataset:

@misc{bandara2024ddpmcdv2,
    title = {Remote Sensing Change Detection (Segmentation) using Denoising Diffusion Probabilistic Models},
    author = {Bandara, Wele Gedara Chaminda and Nair, Nithin Gopalakrishnan and Patel, Vishal M.},
    year = {2022},
    eprint={2206.11892},
    archivePrefix={arXiv},
    primaryClass={cs.CV},
    doi = {10.48550/ARXIV.2206.11892},
}

@misc{bandara2024ddpmcdv3,
    title={DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection}, 
    author={Wele Gedara Chaminda Bandara and Nithin Gopalakrishnan Nair and Vishal M. Patel},
    year={2024},
    eprint={2206.11892},
    archivePrefix={arXiv},
    primaryClass={cs.CV},
    doi = {10.48550/ARXIV.2206.11892},
}

For the improved diffusion model:

@article{pang2024hir,
  title={HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models},
  author={Pang, Li and Rui, Xiangyu and Cui, Long and Wang, Hongzhong and Meng, Deyu and Cao, Xiangyong},
  journal={arXiv preprint arXiv:2402.15865},
  year={2024}
}