Awesome

Differential Gaussian Rasterization

This is a forked repository of the rasterization pipeline from the paper "3D Gaussian Splatting for Real-Time Rendering of Radiance Fields". I have made some extensions to it:

main branch incorporates only the forward pass of depth, which is used for depth visualization.
4th-degree: add the 4th degree of SH
depth: add both the forward and backward pass of depth, which is used for some tasks with depth supervision.
latest: is the dev branch that contains acc and depth visualization, together with depth backward pass.
depth-mean3D: add additional backward pass to the mean3D based on the depth branch

News

23/11/9. Thanks to slothfulxtx for adding depth backward pass to mean3D. I have put this optimization on the depth-mean3D branch.

<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>