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

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

GitHub Code Project Page Paper Dataset Code

Teaser Image

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.

πŸš€ Usage

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

πŸ“­ 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},
}
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