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import torch | |
CSS = """ | |
#img-display-container { | |
max-height: 100vh; | |
} | |
#img-display-input { | |
max-height: 80vh; | |
} | |
#img-display-output { | |
max-height: 80vh; | |
} | |
""" | |
DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu' | |
TITLE = "# LiDAR Diffusion" | |
DESCRIPTION = """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.""" | |
BIBTEX = 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} | |
} | |
``` | |
""" |