Awesome
Paper: Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models (SIGGRAPH Asia 2023, Conference Proceedings)
Please cite our paper if you find it useful. <br>
@article{kothandaraman2023aerial,
title={Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models},
author={Kothandaraman, Divya and Zhou, Tianyi and Lin, Ming and Manocha, Dinesh},
journal={arXiv preprint arXiv:2303.11444},
year={2023}
}
<p align="center">
<img src="coverPic.png" width="720">
</p>
Using the code
Modify the text prompt (line 29) and the path to the ground-view image (line 31) in run_aerialDiffusion.py. <br>
Execute
python run_aerialDiffusion.py
Dependencies
torch <br> cv2 <br> diffusers <br> numpy <br> scipy <br> accelerate <br> packaging <br> transformers <br>
Method
<p align="center"> <img src="overview.png" width="720"> </p>Acknowledgements
This codebase is heavily borrowed from https://github.com/huggingface/diffusers/blob/main/examples/community/imagic_stable_diffusion.py.