@article{3dgaussiansplatting2023,
  title = {3D Gaussian Splatting for Real-Time Radiance Field Rendering},
  author = {Kerbl, B. and Kopanas, G. and Leimkuehler, T. and Drettakis, G.},
  year = {2023},
  journal = {ACM Transactions on Graphics (SIGGRAPH 2023)},
  url = {https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/},
  abstract = {Kerbl et al. (2023) introduce 3D Gaussian splatting, representing scenes as collections of 3D Gaussians optimised from multi-view photographs and rendered via a differentiable tile-based rasteriser. The approach achieves real-time novel-view synthesis at quality comparable to NeRF-based methods while being orders of magnitude faster to render. SIGGRAPH 2023 Best Paper recognition and rapid adoption in virtual production and compositing pipelines establish this as a shaped-the-field result with direct relevance to animation and VFX education.},
  keywords = {generative-ai, 3d-generation, vfx-production, production-practice},
  note = {AI \& Animation Education Knowledge Base}
}