Differential BBSplat Rasterization

This is the rasterization engine for the paper "BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis". If you can make use of it in your own research, please be so kind to cite us.

@article{svitov2024billboard,
  title={BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis},
  author={Svitov, David and Morerio, Pietro and Agapito, Lourdes and Del Bue, Alessio},
  journal={arXiv preprint arXiv:2411.08508},
  year={2024}
}

This implementation is based on the implementation of 3D and 2D Gaussian splatting. Please also consider citing their works.

@inproceedings{Huang2DGS2024,
    title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
    author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
    publisher = {Association for Computing Machinery},
    booktitle = {SIGGRAPH 2024 Conference Papers},
    year      = {2024},
    doi       = {10.1145/3641519.3657428}
}
@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/}
}