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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.

BibTeX

@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/}
}

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An extension to official diff-gaussian-rasterization with forward and backward depth pass

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  • Cuda 69.9%
  • C++ 18.0%
  • Python 10.2%
  • CMake 1.3%
  • C 0.6%