3D-KI
Embodied-AI-Daily
A daily-updated collection of arXiv papers on embodied AI: vision-language navigation
★ 471 SterneCustom
Anleitung ansehen →ml-hugs ist ein Open-Source-Projekt aus der Kategorie 3D-KI von apple-aiml-research (apple-aiml-research/ml-hugs auf GitHub). Es hat 412 Sterne auf GitHub und 53 Forks, wird unter der Lizenz NOASSERTION veröffentlicht und wurde zuletzt am 11. September 2026 auf GitHub aktualisiert.
The official code for HUGS: Human Gaussian Splats (CVPR 2024)
Clone apple-aiml-research/ml-hugs and move into the project folder.
Install the Python requirements with pip — a virtual environment keeps things clean.
Gather the images or data the model expects.
Launch training or inference and inspect the 3D output.
3D scenes via Gaussian splatting.
Neural rendering.
Python codebase — approachable for contributors.
No license was asserted in the metadata — check the repo before using it.
Public repo — issues and pull requests are welcome.
Fork it and make it your own.
Download the source and move into the project folder.
git clone https://github.com/apple-aiml-research/ml-hugs.git
cd ml-hugsSet up what the project needs to run.
pip install -r requirements.txtStart the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the READMENo license was asserted in the metadata — check the repo before using it.
Clone the repo and pip-install the requirements — the README covers the exact steps.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-09-11 with 53 forks. Skim recent commits to gauge momentum before relying on it.
Yes — it is open source, so issues and pull requests are welcome.
A daily-updated collection of arXiv papers on embodied AI: vision-language navigation
[npj AI] 3D Magic Mirror: Clothing Reconstruction from a Single Image
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
CVPR 2026 Highlight, the CVPR Compute Gold Star] Offical code designed for "FastGS.
Render Gaussian Splats using Metal on Apple platforms (iOS/iPhone/iPad.
CLI and library for processing and converting 3D Gaussian splats.
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ml-hugs 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 ml-hugs bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A daily-updated collection of arXiv papers on embodied AI: vision-language navigation
(ICCV 2025) GaussianOcc: Entirely Self-supervised and Efficient 3D Occupancy
Vulkan viewer rendering 3D Gaussians via rasterization and raytracing.
GPU-powered text editor that lets you edit writing in a 3D space.
3D Gaussian Splatting viewer built on Three.js — mark, measure and render with preset LODs.
AI-powered 3D suite on Blender: agent, moodboards, generation, painting.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.