README.md

metadata

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 | PDF

Code: https://github.com/script-Yang/Agent-GenPath

Citation

@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},
}