3D-KI
Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
★ 865 SterneMIT
Anleitung ansehen →TRELLIS ist ein Open-Source-Projekt aus der Kategorie 3D-KI von microsoft (microsoft/TRELLIS auf GitHub). Es hat 13.755 Sterne auf GitHub und 1.352 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 26. Juni 2026 auf GitHub aktualisiert.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
Game engines and modelers for handcraft; AI tools for text-to-3D assets.
Mature installers and package managers on every platform.
Nodes, scripts, or prompts — each tool has strong community tutorials.
Standard formats (glTF, FBX, OBJ) move assets between tools.
True three-dimensional pipelines, not flat approximations.
Modern pipelines with PBR, GI, and post-processing.
Text-to-3D and image-to-3D for rapid prototyping.
Ship commercial games without revenue share.
Modify the engine itself — impossible with closed tools.
Several engines support immersive targets out of the box.
Download the source and move into the project folder.
git clone https://github.com/microsoft/TRELLIS.git
cd TRELLISEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at microsoft/TRELLIS with 1,352 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Great for prototypes and background assets; hero assets still want an artist's pass.
Visual scripting covers a lot; GDScript/Python is easy to pick up.
Godot has shipped commercial hits; for AAA-scale productions the big two still lead.
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
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The official implementation of the paper "LucidDreamer: Domain-free Generation of 3D
Recurrent Gaussian Splatting from an ECCV spotlight paper.
The official code for HUGS: Human Gaussian Splats (CVPR 2024)
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls TRELLIS 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 TRELLIS bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Shap-E — OpenAI's text-to-3D and image-to-3D model: generate 3D objects as implicit functions and render them as NeRFs or textured meshes, MIT
Turn a reference image into a procedural, animation-ready Three.js model - as code
Nerfstudio — the plug-and-play studio for NeRFs and Gaussian splatting: turn photos of a real scene into explorable 3D, with a modular API and viewer, Apache-2.0
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Modly — a desktop app that generates 3D models from images or prompts, running entirely on your own GPU.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.