AI 3D
depthsplat
Feed-forward 3D from images: Gaussian splatting meets depth.
★ 1.3k スターMIT
ガイドを見る →supersplat-viewerは、playcanvas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: playcanvas/supersplat-viewer）。GitHubスターは580、フォークは159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10月2日です。
A fast, friendly viewer for 3D Gaussian splat scenes.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Works with common 3D file formats.
Scriptable for pipelines and experiments.
Reference implementation of published work.
Inspect, cite, and build on the research.
Crisp, detailed 3D output from real data.
Optimized for practical generation times.
Download the source and move into the project folder.
git clone https://github.com/playcanvas/supersplat-viewer.git
cd supersplat-viewerPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at playcanvas/supersplat-viewer with 159 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
For generation, yes — a CUDA-capable GPU is strongly recommended; viewing works on most machines.
Photos, multi-view images, or text prompts depending on the method.
Some entries are official paper implementations — expect research-grade docs, not polished apps.
Feed-forward 3D from images: Gaussian splatting meets depth.
Text-to-CAD: generate NURBS models from plain language.
One console for every coding agent — each task on its own branch.
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
Cross-vendor 3D Gaussian Splatting trainer: video to splat to mesh.
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 — supersplat-viewer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supersplat-viewer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。
Python command-line utility designed for converting and processing 3D Gaussian.
Bilingual AI interview cheat sheets plus a fact-checked academic homepage builder.
A growing curation of Text-to-3D, Diffusion-to-3D works.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
Gaussian splatting operators that bring 3DGS into SideFX Houdini.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.