README.md

---
license: mit
language:
  - en
tags:
  - 3d-scene-generation
  - indoor-scene
  - vision-language
  - reinforcement-learning
base_model: Qwen/Qwen2.5-VL-7B-Instruct
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---

# SceneReVis-7B

SceneReVis-7B is a vision-language model fine-tuned for iterative 3D indoor scene generation and editing.

## Model Details

- **Base Model**: Qwen2.5-VL-7B-Instruct
- **Training**: SFT on SceneChain-12K + GRPO reinforcement learning with voxel-based physics rewards
- **Architecture**: Vision-Language Model with tool-calling capabilities

## Usage

See the [SceneReVis repository](https://github.com/Runder-sun/SceneReVis) for inference instructions.

## Citation

```bibtex
@article{zhao2026scenerevis,
  title={SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-turn RL},
  author={Yang Zhao and Shizhao Sun and Meisheng Zhang and Yingdong Shi and Xubo Yang and Jiang Bian},
  journal={arXiv preprint arXiv:2602.09432},
  year={2026}
}
```