| This is a clone of https://github.com/graphdeco-inria/diff-gaussian-rasterization/tree/59f5f77e3ddbac3ed9db93ec2cfe99ed6c5d121d | |
| However, it has been edited by Jonathon Luiten to also render 'depth' as well as colour. | |
| This is needed for Jonathon's Dynamic 3D Gaussians work which can be found here: http://dynamic3dgaussians.github.io | |
| By default, the depth is calculated as 'median depth', where the depth is the depth of the Gaussian center which causes the accumulated rays transmittance to drop below 0.5. | |
| If a ray doesn't reach this threshold it is given a default depth of 15. This median depth avoids the depth floaters around depth boundaries that 'mean depth' would give. | |
| If 'mean depth' is preffered, there is commented out code which also calculates 'mean depth'. | |
| See lines 307-308 and 363-372 of cuda_rasterizer/forward.cu. | |
| Note that the backward pass for the depth has not been implemented, so it won't work for training with depth ground-truth. | |
| Note that the code in this repo follows the (non commercial) license of Inria as laid out in LICENSE.md | |
| If you're using this as part of the Dynamic 3D Gaussians code, just follow the installation instruction for that codebase. | |
| To install this stand-alone I have been doing the following (although I don't think this is necessarily the best way): | |
| ``` | |
| git clone git@github.com:git@github.com:JonathonLuiten/diff-gaussian-rasterization-w-depth.git | |
| cd diff-gaussian-rasterization-w-depth | |
| python setup.py install | |
| pip install . | |
| ``` | |
| Original readme below: | |
| # 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. | |
| <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> |