S $^2$ CycleDiff

The implementation of the AAAI 2024 paper "S$^2$CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Frameworkfor Hyperspectral Image Super-Resolution"

Requirements

• Ubuntu 20.04 cuda 11.0
• Python 3.7 Pytorch 1.7

Hyperparameters

The optimizer is Adam.

The more detailed training settings are shown in experiments of this paper.

Training just run the S $^2$ CycleDiff.py

Testing just run the S $^2$ CycleDiff_test.py

Cite

@inproceedings{qu2024missing,
  title={S $^2$ CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Frameworkfor Hyperspectral Image Super-Resolution},
  author={Jiahui Qu, Jie He, Wenqian Dong, Jinyu Zhao},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  year={2024}
}