3D-KI
splat-transform
CLI and library for processing and converting 3D Gaussian splats.
★ 1,4 Tsd. SterneMIT
Anleitung ansehen →vk_gaussian_splatting ist ein Open-Source-Projekt aus der Kategorie 3D-KI von nvpro-samples (nvpro-samples/vk_gaussian_splatting auf GitHub). Es hat 504 Sterne auf GitHub und 53 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 30. September 2026 auf GitHub aktualisiert.
Vulkan viewer rendering 3D Gaussians via rasterization and raytracing.
Download the sample and its submodules.
Set up CMake with the Vulkan SDK.
Build the C++ project.
Open 3D Gaussian data and compare renderers.
Rasterization, raytracing, and hybrid methods.
Modern low-level GPU programming.
Cutting-room GPU techniques included.
Raytraced Gaussian splats live.
From the nvpro-samples team.
Study-grade code for graphics engineers.
Download the source with submodules.
git clone --recursive https://github.com/nvpro-samples/vk_gaussian_splatting.git
cd vk_gaussian_splattingSet up the CMake build with the Vulkan SDK.
cmake -B buildCompile the C++ project.
cmake --build buildIt is an open-source sample at nvpro-samples with 53 forks.
Yes. It is Apache-2.0 licensed.
A Vulkan-capable GPU is required; NVIDIA hardware is the reference target.
No. It is an advanced sample for studying rendering methods.
Hybrid rendering, mesh shaders, rasterization, and real-time raytracing.
CLI and library for processing and converting 3D Gaussian splats.
Gaussian splatting operators that bring 3DGS into SideFX Houdini.
A 3DGS framework with derived algorithms and a web viewer.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
3D Gaussian Splatting viewer built on Three.js — mark, measure and render with preset LODs.
Nerfstudio — the plug-and-play studio for NeRFs and Gaussian splatting: turn photos of a real scene into explorable 3D, with a modular API and viewer, Apache-2.0
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3D Gaussian Splatting viewer built on Three.js — mark, measure and render with preset LODs.
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The official code for HUGS: Human Gaussian Splats (CVPR 2024)
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.