dendenxu/fast-gaussian-rasterization

Health v2 · maintenance only

Adoption not part of the score

1202 stars · 65 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A drop-in replacement for diff-gaussian-rasterization that renders 3D Gaussian Splatting scenes using a geometry-shader-based GPU pipeline with global CUDA sorting. It achieves 5-10x faster rendering than the vanilla CUDA software rasterizer, though it does not yet support a backward pass for training.

Use cases

• render 3d gaussian splatting scenes faster
• speed up 3dgs rendering in a viewer or gui
• replace diff_gaussian_rasterization with a faster drop-in
• real-time high-resolution gaussian splatting rendering
• render large gaussians at high pixel-to-point ratios
• offline rendering of gaussian splat scenes

When to choose

• you need fast forward-only 3DGS rendering, e.g. in a real-time viewer
• your scenes have large Gaussians or high-resolution output
• you want a drop-in import swap with no CUDA compilation step
• you render in an OpenGL-based GUI and can write directly to the framebuffer

When to avoid

• you need gradient/backward passes for training Gaussian Splatting models
• your point clouds are extremely dense (>1M points) with small Gaussians, where the CUDA implementation may be faster
• you rely on features like depth-peeling not supported here

Facets

library · maturity active

graphics image-processing machine-learning gpu-computing computer-vision graphics machine-learning gpu-computing python windows cross-platform gaussian-splatting 3dgs rasterization cuda geometry-shader opengl nerf rendering drop-in-replacement gpu linux

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