# EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
[](https://horizonrobotics.github.io/robot_lab/embodied_gen/index.html)
[](https://arxiv.org/abs/2506.10600)
[](https://www.youtube.com/watch?v=rG4odybuJRk)
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Image-to-3D)
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Text-to-3D)
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Texture-Gen)
**EmbodiedGen** is a toolkit to generate diverse and interactive 3D worlds composed of generative 3D assets with plausible physics, leveraging generative AI to address the challenges of generalization in embodied intelligence related research. EmbodiedGen composed of six key modules: `Image-to-3D`, `Text-to-3D`, `Texture Generation`, `Articulated Object Generation`, `Scene Generation` and `Layout Generation`.
---
## โจ Table of Contents of EmbodiedGen
- [๐ผ๏ธ Image-to-3D](#image-to-3d)
- [๐ Text-to-3D](#text-to-3d)
- [๐จ Texture Generation](#texture-generation)
- [๐ 3D Scene Generation](#3d-scene-generation)
- [โ๏ธ Articulated Object Generation](#articulated-object-generation)
- [๐๏ธ Layout Generation](#layout-generation)
## ๐ Quick Start
### โ
Setup Environment
```sh
git clone https://github.com/HorizonRobotics/EmbodiedGen.git
cd EmbodiedGen
git checkout v0.1.0
git submodule update --init --recursive --progress
conda create -n embodiedgen python=3.10.13 -y
conda activate embodiedgen
bash install.sh
```
### ๐ข Setup GPT Agent
Update the API key in file: `embodied_gen/utils/gpt_config.yaml`.
You can choose between two backends for the GPT agent:
- **`gpt-4o`** (Recommended) โ Use this if you have access to **Azure OpenAI**.
- **`qwen2.5-vl`** โ An alternative with free usage via OpenRouter, apply a free key [here](https://openrouter.ai/settings/keys) and update `api_key` in `embodied_gen/utils/gpt_config.yaml` (50 free requests per day)
---
๐ผ๏ธ Image-to-3D
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Image-to-3D) Generate physically plausible 3D asset from input image.
### Service
Run the image-to-3D generation service locally. The first run will download required models.
```sh
# Run in foreground
python apps/image_to_3d.py
# Or run in the background
CUDA_VISIBLE_DEVICES=0 nohup python apps/image_to_3d.py > /dev/null 2>&1 &
```
### API
Generate a 3D model from an image using the command-line API.
Models will be downloaded automatically, please wait for the first run.
```sh
python3 embodied_gen/scripts/imageto3d.py \
--image_path apps/assets/example_image/sample_04.jpg apps/assets/example_image/sample_19.jpg \
--output_root outputs/imageto3d/
# See result(.urdf/mesh.obj/mesh.glb/gs.ply) in ${output_root}/sample_xx/result
```
---
๐ Text-to-3D
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Text-to-3D) Create 3D assets from text descriptions for a wide range of geometry and styles.
### Service
Run the text-to-3D generation service locally.
```sh
python apps/text_to_3d.py
```
### API
Models will be downloaded automatically, see `download_kolors_weights`.
```sh
bash embodied_gen/scripts/textto3d.sh \
--prompts "small bronze figurine of a lion" "A globe with wooden base and latitude and longitude lines" "ๆฉ่ฒ็ตๅจๆ้ป๏ผๆ็ฃจๆ็ป่" \
--output_root outputs/textto3d/
```
---
๐จ Texture Generation
[](https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Texture-Gen) Generate visually rich textures for 3D mesh.
### Service
Run the texture generation service locally.
```sh
python apps/texture_edit.py
```
### API
Models will be downloaded automatically, see `download_kolors_weights`, `geo_cond_mv`.
```sh
bash embodied_gen/scripts/texture_gen.sh \
--mesh_path "apps/assets/example_texture/meshes/robot_text.obj" \
--prompt "ไธพ็็ๅญ็ๅๅฎ้ฃๆ ผๆบๅจไบบ๏ผๅคง็ผ็๏ผ็ๅญไธๅ็โHelloโ็ๆๅญ" \
--output_root "outputs/texture_gen/" \
--uuid "robot_text"
```
---
๐ 3D Scene Generation
๐ง *Coming Soon*
---
โ๏ธ Articulated Object Generation
๐ง *Coming Soon*
---
๐๏ธ Layout Generation
๐ง *Coming Soon*
---
## ๐ Citation
If you use EmbodiedGen in your research or projects, please cite:
```bibtex
@misc{wang2025embodiedgengenerative3dworld,
title={EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence},
author={Xinjie Wang and Liu Liu and Yu Cao and Ruiqi Wu and Wenkang Qin and Dehui Wang and Wei Sui and Zhizhong Su},
year={2025},
eprint={2506.10600},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2506.10600},
}
```
---
## ๐ Acknowledgement
EmbodiedGen builds upon the following amazing projects and models:
๐ [Trellis](https://github.com/microsoft/TRELLIS) | ๐ [Hunyuan-Delight](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-delight-v2-0) | ๐ [Segment Anything](https://github.com/facebookresearch/segment-anything) | ๐ [Rembg](https://github.com/danielgatis/rembg) | ๐ [RMBG-1.4](https://huggingface.co/briaai/RMBG-1.4) | ๐ [Stable Diffusion x4](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler) | ๐ [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) | ๐ [Kolors](https://github.com/Kwai-Kolors/Kolors) | ๐ [ChatGLM3](https://github.com/THUDM/ChatGLM3) | ๐ [Aesthetic Score](http://captions.christoph-schuhmann.de/aesthetic_viz_laion_sac+logos+ava1-l14-linearMSE-en-2.37B.html) | ๐ [Pano2Room](https://github.com/TrickyGo/Pano2Room) | ๐ [Diffusion360](https://github.com/ArcherFMY/SD-T2I-360PanoImage) | ๐ [Kaolin](https://github.com/NVIDIAGameWorks/kaolin) | ๐ [diffusers](https://github.com/huggingface/diffusers) | ๐ [gsplat](https://github.com/nerfstudio-project/gsplat) | ๐ [QWEN2.5VL](https://github.com/QwenLM/Qwen2.5-VL) | ๐ [GPT4o](https://platform.openai.com/docs/models/gpt-4o)
---
## โ๏ธ License
This project is licensed under the [Apache License 2.0](LICENSE). See the `LICENSE` file for details.