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πŸ‘‹ Welcome to EmbodiedGen V2

🌐 Project Page πŸ“– Documentation GitHub πŸ“„ arXiv πŸ“„ arXiv πŸŽ₯ Video 中文介绍 η”¨ζˆ·ηΎ€

πŸ€— Dataset πŸ€— Hugging Face πŸ€— Hugging Face πŸ€— Hugging Face πŸ€— Hugging Face

EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI.

From intent to executable 3D worlds. EmbodiedGen compiles language, images, and edit commands into policy-ready 3D worlds β€” physically plausible assets, large-scale scenes, and task-driven interactive environments, deployable across major simulators.

EmbodiedGen V2 Overview

What can it do?

  • 🧱 Generate β€” Sim-Ready Assets


    Turn a single image or a text prompt into a simulation-ready asset: metric geometry, collision proxy, and physical properties.

    β†’ Image-to-3D Β· Text-to-3D Β· Texture Generation Β· Soft-Body Simulation Β· Affordance

  • 🏠 Scale β€” Large-Scale Scenes


    Multi-room, navigable, instance-editable houses and photo-realistic 3DGS backgrounds at controllable complexity.

    β†’ Room Generation Β· 3D Scenes

  • 🌍 Compose β€” Task-Driven Worlds


    Natural-language tasks become physically stable, directly loadable interactive layouts with robots and objects.

    β†’ Layout Generation Β· Digital Twin Creation

  • πŸ’¬ Edit β€” 3D Vibe Coding


    Build and edit deployable world states through dialogue β€” every instruction a bounded, physics-validated skill call.

    β†’ 3D Vibe Coding

  • πŸ“¦ Export β€” Any Simulators


    One standardized layout loads consistently across SAPIEN, Isaac Sim, Isaac Gym, MuJoCo, Genesis, and PyBullet.

    β†’ Any Simulators

  • πŸ€– Train β€” Robot Learning


    Generated worlds double as online training environments: parallel gym envs, trajectory recording, grasp evaluation.

    β†’ Robot Learning

Start with the Installation Guide, then follow the Tutorials. Online demos live in Services.