ContextGen: Contextual Layout Anchoring
for Identity-Consistent Multi-Instance Generation

Ruihang Xu, Dewei Zhou, Fan Ma^†, Yi Yang
ReLER Lab, CCAI, Zhejiang University

ContextGen is a novel framework that uses user-provided reference images to generate image with multiple instances, offering layout control over their positions while guaranteeing identity preservation.

🚀 Usage

Please refer to our GitHub Repository for detailed instructions on how to use ContextGen.

📭 Citation

If you find ContextGen helpful to your research, please consider citing our paper:

@article{xu2025contextgencontextuallayoutanchoring,
      title={ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation},
      author={Ruihang Xu and Dewei Zhou and Fan Ma and Yi Yang},
      year={2025},
      eprint={2510.11000},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2510.11000},
}