harry7557558/spirula-studio

Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.

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Download • Build from Source • Gallery • Web Viewer Spirula Studio trains 3D Gaussian Splatting models – from raw photo/video to splat to textured mesh – in one self-contained binary. No Python/PyTorch, no separate COLMAP install. Runs on NVIDIA, AMD, Intel, and Apple GPUs via Vulkan, trains 10M full-SH Gaussians in 8 GB VRAM, and has native support for fisheye and 360° cameras. Dataset credit: Garage by Simon Bethke (CC BY-SA 4.0); Flight Systems and Control Lab at UTIAS; MegaDepth-X; Mip-NeRF 360. Binaries for Windows, Linux, and macOS can be downloaded from Releases page. Simply select the one for your platform, download and unzip, and double click to open the GUI. If you are training on remote/cloud GPUs, you may use the CLI – Run spirula --help for details. By default, spirula train command will serve a viewer on an HTTP port, one you can forward over ssh and…

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Garage

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What this repository does

Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.

Repository facts

Owner: harry7557558
Primary language: C++
Stars: 625
Forks: 51
Open issues + pull requests: 36
License: GPL-3.0
Archived: No
Default branch: master
Created: 2024-05-04T03:03:05.000Z
Last push: 2026-09-23T04:40:40.000Z

Topics and intended use

Owner-supplied topics: 360-camera, 3d-gaussian-splatting, 3d-reconstruction, 3dgs, 3dgs-acceleration, computer-vision, cross-vendor, cuda, gaussian-splatting, mesh-generation, quantized-training, structure-from-motion, vram-optimization, vulkan

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