Designed for our paper "DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling". If you can make use of it in your own research, please be so kind to cite us.
@misc{li2024dreamscene3dgaussianbasedtextto3d,
title={DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling},
author={Haoran Li and Haolin Shi and Wenli Zhang and Wenjun Wu and Yong Liao and Lin Wang and Lik-hang Lee and Pengyuan Zhou},
year={2024},
eprint={2404.03575},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2404.03575},
}
Used as the rasterization engine for the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields". If you can make use of it in your own research, please be so kind to cite us.
@Article{kerbl3Dgaussians,
author = {Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title = {3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal = {ACM Transactions on Graphics},
number = {4},
volume = {42},
month = {July},
year = {2023},
url = {https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}