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A free, open mathematical knowledge base built for clarity.
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Anleitung ansehen →DiffSplat ist ein Open-Source-Projekt aus der Kategorie 3D-KI von chenguolin (chenguolin/DiffSplat auf GitHub). Es hat 546 Sterne auf GitHub und 35 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 19. März 2026 auf GitHub aktualisiert.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Issues and pull requests welcome on GitHub.
Hackable in a familiar, popular language.
No subscription or paywall for core features.
Audit exactly what the software does.
Get the source on your machine.
git clone https://github.com/chenguolin/DiffSplat.gitSet up Python dependencies.
cd DiffSplat && pip install -r requirements.txtLaunch the application.
cd DiffSplat && python main.pyIt [ICLR 2025] Official implementation of "DiffSplat: Repurposing Image Diffusion Models for Scalable 3D Gaussian Splat Generation", giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
A free, open mathematical knowledge base built for clarity.
AI guitar workspace: smart voicings, tuner, tabs, and progression builder.
ICCV 2023 research: ground text descriptions to multiple 3D objects.
The official implementation of the paper "LucidDreamer: Domain-free Generation of 3D
Run visionary locally: the world model carrier built on webgpu-powered gaussia.
(ICCV 2025) GaussianOcc: Entirely Self-supervised and Efficient 3D Occupancy
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls DiffSplat nicht das Richtige ist.
Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D
Pascal Editor: an open-source 3D architectural editor with MCP tools for humans and AI agents
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Turn a reference image into a procedural, animation-ready Three.js model - as code
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Verwandte Projekte der Kategorie 3D-KI im Katalog, die DiffSplat bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
LiDAR-augmented Gaussian Splatting plus neural SDF, in real time.
Bilingual AI interview cheat sheets plus a fact-checked academic homepage builder.
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
A fast, friendly viewer for 3D Gaussian splat scenes.
Run visionary locally: the world model carrier built on webgpu-powered gaussia.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.