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3D Gaussian Splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

View on GitHub Official site
Vision Multimodal Hard setup 22,733 stars

Overview

Description

Transform ordinary photographs into photorealistic 3D scenes you can explore in real time — no expensive 3D modeling or manual work required. The technology renders immersive walkthroughs at 30+ frames per second on standard GPU hardware, making high-quality 3D capture practical for the first time. Originally a research breakthrough, it is now the foundation for a wave of new 3D visualization and digital twin products.

Technical scorecard

License

Not specified

Commercial use

No

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

The listed license needs review before commercial use.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

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Setup & Installation

Hard

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/graphdeco-inria/gaussian-splatting

Hardware Requirements

Hardware tagsGPU (NVIDIA)
LanguagesPython

Works Well With