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import torch | |
CSS = """ | |
#img-display-container { | |
max-height: 160vh; | |
} | |
#img-display-input { | |
max-height: 140vh; | |
} | |
#img-display-output { | |
max-height: 70vh; | |
} | |
#pcd-display-output { | |
max-height: 70vh; | |
} | |
""" | |
HEADER = ''' | |
# LiDAR Diffusion | |
Official demo for **LiDAR Diffusion: Towards Realistic Scene Generation with LiDAR Diffusion Models**. | |
Please refer to our [paper](https://arxiv.org/abs/2404.00815), [project page](https://lidar-diffusion.github.io/), or [github](https://github.com/hancyran/LiDAR-Diffusion) for more details. | |
### Camera-to-LiDAR Demo | |
''' | |
FOOTER = r""" | |
```bibtex | |
@inproceedings{ran2024towards, | |
title={Towards Realistic Scene Generation with LiDAR Diffusion Models}, | |
author={Ran, Haoxi and Guizilini, Vitor and Wang, Yue}, | |
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | |
year={2024} | |
} | |
``` | |
""" | |