| # Differential Gaussian Rasterization | |
| **NOTE**: this is a modified version to support depth & alpha rendering (both forward and backward) from the [original repository](https://github.com/graphdeco-inria/diff-gaussian-rasterization). | |
| ```python | |
| rendered_image, radii, rendered_depth, rendered_alpha = rasterizer( | |
| means3D=means3D, | |
| means2D=means2D, | |
| shs=shs, | |
| colors_precomp=colors_precomp, | |
| opacities=opacity, | |
| scales=scales, | |
| rotations=rotations, | |
| cov3D_precomp=cov3D_precomp, | |
| ) | |
| ``` | |
| 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. | |
| <section class="section" id="BibTeX"> | |
| <div class="container is-max-desktop content"> | |
| <h2 class="title">BibTeX</h2> | |
| <pre><code>@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/} | |
| }</code></pre> | |
| </div> | |
| </section> | |