AI 3D
depthsplat
Feed-forward 3D from images: Gaussian splatting meets depth.
★ 1.3k スターMIT
ガイドを見る →spzは、nianticlabsが公開しているオープンソースのAI 3Dプロジェクトです（GitHub: nianticlabs/spz）。GitHubスターは924、フォークは114で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月1日です。
File format designed for 3D Gaussian splats.
Decide what you want spz to do first — file format designed for 3D Gaussian splats. About 10x smaller than th.
Change the config to match your workflow, then run it daily.
The README documents setup; start with the install section.
Pull the latest changes to stay current with fixes.
Working 3dgs support built in.
Working compression support built in.
Uses 3D Gaussian splat rendering.
Working splat support built in.
Native speed for heavy workloads.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/nianticlabs/spz.git
cd spzConfigure and compile with CMake.
mkdir build && cd build
cmake ..
makeExecute the built binary.
./app # binary name may varyYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
The repo shows activity as of 2026-09-01. Check the commit history and open issues on GitHub to judge how active maintenance is right now.
Feed-forward 3D from images: Gaussian splatting meets depth.
🌍 WorldGen - Generate Any 3D Scene in Seconds
Self-hosted 3D AI studio: mesh gen, retopo, UVs, textures, auto-rigging.
Render Gaussian Splats using Metal on Apple platforms (iOS/iPhone/iPad.
One-click desktop app turning videos into 3D Gaussian Splats.
3D Model Viewer with support for glTF and 3D Gaussian Splats.
LibreAIカタログに掲載されたAI 3Dプロジェクトの中で最もスターの多いもの — spzが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でspzとスター数が近いAI 3Dプロジェクト — 前後の棚もそのまま見て回れます。
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
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Generate large-scale explorable 3D scenes with high-quality panorama videos from a single image or text prompt.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.