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tags:
- pytorch
- pathology
- flow-matching
- dit
pipeline_tag: unconditional-image-generation
---
This model provides the **pretrained DiT backbone for Agent-GenPath**, supporting pathology image synthesis and downstream segmentation.
The model is introduced in the following paper:
**Agent-Driven Generative Priors for Pathology Image Synthesis and Segmentation**
arXiv: [**2611.06701**](https://arxiv.org/abs/2611.06701) | [PDF](https://arxiv.org/pdf/2611.06701)
Code: [**https://github.com/script-Yang/Agent-GenPath**](https://github.com/script-Yang/Agent-GenPath)
## Citation
```bibtex
@misc{yang2026agentdrivengenerativepriorspathology,
title={Agent-Driven Generative Priors for Pathology Image Synthesis and Segmentation},
author={Sicheng Yang and Rui Tang and Haipeng Zhou and Hongqiu Wang and Zhaohu Xing and Jianda Ma and Lie Dai and Guang Yang and Lei Zhu},
year={2026},
eprint={2611.06701},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2611.06701},
}
``` |