This is the official repository for the ICLR 2024 paper "DiffusionSat: A Generative Foundation Model For Satellite Imagery".
Authors: Samar Khanna 1, Patrick Liu, Linqi (Alex) Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon.
Please refer to INSTALLATION.md.
Model checkpoint files can be found at this link.
Note that this is a temporary location, and checkpoint files may be moved to another location in the future (I will update the README in this case).
(While the files are on Google Drive, you can use gdown to download them).
This section covers image-generation using single-image DiffusionSat, without control signal inputs.
The relevant jupyter notebook can be found in notebooks/single-image.ipynb.
The relevant model checkpoints can be found here:
| Resolution | Link |
|---|---|
| 512 x 512 | Download |
| 256 x 256 | Download |
Coming soon, stay tuned...
Coming soon, stay tuned...
If you find our project helpful, please cite our paper:
@inproceedings{
khanna2024diffusionsat,
title={DiffusionSat: A Generative Foundation Model for Satellite Imagery},
author={Samar Khanna and Patrick Liu and Linqi Zhou and Chenlin Meng and Robin Rombach and Marshall Burke and David B. Lobell and Stefano Ermon},
booktitle={The Twelfth International Conference on Learning Representations},
year={2024},
url={https://openreview.net/forum?id=I5webNFDgQ}
}