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--- |
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base_model: |
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- stabilityai/stable-diffusion-2-1 |
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datasets: |
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- manycore-research/SpatialGen-Testset |
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license: creativeml-openrail-m |
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pipeline_tag: image-to-3d |
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--- |
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# SpatialGen: Layout-guided 3D Indoor Scene Generation |
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<!-- markdownlint-disable first-line-h1 --> |
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<!-- markdownlint-disable html --> |
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<!-- markdownlint-disable no-duplicate-header --> |
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<div align="center"> |
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<picture> |
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<source srcset="https://cdn-uploads.huggingface.co/production/uploads/6437c0ead38ce48bdd4b0067/myrWYVNd4m-DuxV39VQZ0.png" media="(prefers-color-scheme: dark)"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6437c0ead38ce48bdd4b0067/QQvDtmokH4ZjwH0wppqFC.png" width="60%" alt="SpatialLM""/> |
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</picture> |
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</div> |
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<hr style="margin-top: 0; margin-bottom: 8px;"> |
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<div align="center" style="margin-top: 0; padding-top: 0; line-height: 1;"> |
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<a href="https://manycore-research.github.io/SpatialGen" target="_blank" style="margin: 2px;"><img alt="Project" |
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src="https://img.shields.io/badge/🌐%20Project-SpatialGen-ffc107?color=42a5f5&logoColor=white" style="display: inline-block; vertical-align: middle;"/></a> |
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<a href="https://arxiv.org/abs/2509.14981" target="_blank" style="margin: 2px;"><img alt="arXiv" |
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src="https://img.shields.io/badge/arXiv-SpatialGen-b31b1b?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/></a> |
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<a href="https://github.com/manycore-research/SpatialGen" target="_blank" style="margin: 2px;"><img alt="GitHub" |
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src="https://img.shields.io/badge/GitHub-SpatialGen-24292e?logo=github&logoColor=white" style="display: inline-block; vertical-align: middle;"/></a> |
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<a href="https://huggingface.co/manycore-research/SpatialGen-1.0" target="_blank" style="margin: 2px;"><img alt="Hugging Face" |
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src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-SpatialGen-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/></a> |
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</div> |
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<div align="center"> |
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| Image-to-Scene Results | Text-to-Scene Results | |
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| :--------------------------------------: | :----------------------------------------: | |
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|  |  | |
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<p>TL;DR: Given a 3D semantic layout, SpatialGen can generate a 3D indoor scene conditioned on either a reference image (left) or a textual description (right) using a multi-view, multi-modal diffusion model.</p> |
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</div> |
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## ✨ News |
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- [Sep, 2025] We released the paper of SpatialGen! |
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- [Aug, 2025] Initial release of SpatialGen-1.0! |
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## 📋 Release Plan |
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- [x] Provide inference code of SpatialGen. |
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- [ ] Provide training instruction for SpatialGen. |
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- [ ] Release SpatialGen dataset. |
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## SpatialGen Models |
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<div align="center"> |
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| **Model** | **Download** | |
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| :-----------------------: | -------------------------------------------------------------------------------------| |
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| SpatialGen-1.0 | [🤗 HuggingFace](https://huggingface.co/manycore-research/SpatialGen-1.0) | |
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| FLUX.1-Layout-ControlNet | [🤗 HuggingFace](https://huggingface.co/manycore-research/FLUX.1-Layout-ControlNet) | |
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| FLUX.1-Wireframe-dev-lora | [🤗 HuggingFace](https://huggingface.co/manycore-research/FLUX.1-Wireframe-dev-lora) | |
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</div> |
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## Usage |
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### 🔧 Installation |
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Tested with the following environment: |
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* Python 3.10 |
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* PyTorch 2.3.1 |
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* CUDA Version 12.1 |
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```bash |
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# clone the repository |
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git clone https://github.com/manycore-research/SpatialGen.git |
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cd SpatialGen |
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python -m venv .venv |
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source .venv/bin/activate |
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pip install -r requirements.txt |
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# Optional: fix the [flux inference bug](https://github.com/vllm-project/vllm/issues/4392) |
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pip install nvidia-cublas-cu12==12.4.5.8 |
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``` |
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### 📊 Dataset |
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We provide [SpatialGen-Testset](https://huggingface.co/datasets/manycore-research/SpatialGen-Testset) with 48 rooms, which labeled with 3D layout and 4.8K rendered images (48 x 100 views, including RGB, normal, depth maps and semantic maps) for MVD inference. |
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### Inference |
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```bash |
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# Single image-to-3D Scene |
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bash scripts/infer_spatialgen_i2s.sh |
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# Text-to-image-to-3D Scene |
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# in captions/spatialgen_testset_captions.jsonl, we provide text prompts of different styles for each room, |
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# choose a pair of scene_id and prompt to run the text2scene experiment |
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bash scripts/infer_spatialgen_t2s.sh |
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``` |
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## License |
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[SpatialGen-1.0](https://huggingface.co/manycore-research/SpatialGen-1.0) is derived from [Stable-Diffusion-v2.1](https://github.com/Stability-AI/stablediffusion), which is licensed under the [CreativeML Open RAIL++-M License](https://github.com/Stability-AI/stablediffusion/blob/main/LICENSE-MODEL). [FLUX.1-Layout-ControlNet](https://huggingface.co/manycore-research/FLUX.1-Layout-ControlNet) is licensed under the [FLUX.1-dev Non-Commercial License](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev). |
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## Acknowledgements |
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We would like to thank the following projects that made this work possible: |
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[DiffSplat](https://github.com/chenguolin/DiffSplat) | [SD 2.1](https://github.com/Stability-AI/stablediffusion) | [TAESD](https://github.com/madebyollin/taesd) | [FLUX](https://github.com/black-forest-labs/flux/) | [SpatialLM](https://github.com/manycore-research/SpatialLM) |
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## Citation |
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```bibtex |
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@article{SpatialGen, |
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title = {SpatialGen: Layout-guided 3D Indoor Scene Generation}, |
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author = {Fang, Chuan and Li, Heng and Liang, Yixu and Zheng, Jia and Mao, Yongsen and Liu, Yuan and Tang, Rui and Zhou, Zihan and Tan, Ping}, |
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journal = {arXiv preprint}, |
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year = {2025}, |
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eprint = {2509.14981}, |
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archivePrefix = {arXiv}, |
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primaryClass = {cs.CV} |
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} |
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``` |
