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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.