lclichen / comp-diff-gaussian-rasterization

Differential Gaussian Rasterization for Compression

Home Page:https://dreamscene-project.github.io/

Repository from Github https://github.comlclichen/comp-diff-gaussian-rasterizationRepository from Github https://github.comlclichen/comp-diff-gaussian-rasterization

Differential Gaussian Rasterization for Compression

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.

BibTeX

@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}, 
}

Differential Gaussian Rasterization

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.

BibTeX

@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/}
}

About

Differential Gaussian Rasterization for Compression

https://dreamscene-project.github.io/

License:Other


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Language:Cuda 72.5%Language:C++ 11.5%Language:Python 9.1%Language:C 5.8%Language:CMake 1.1%