ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
Paper
β’
2510.11000
β’
Published
β’
8
Ruihang Xu,
Dewei Zhou,
Fan Ma,
Yi Yangβ
ReLER, 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.
Please refer to our GitHub Repository for detailed instructions on how to use ContextGen.
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},
}
Base model
black-forest-labs/FLUX.1-Kontext-dev