README.md

metadata

title: Agent-GenPath
emoji: 🔬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.31.0
app_file: app.py
short_description: Pathology patch synthesis with the Agent-GenPath DiT
python_version: '3.12'
startup_duration_timeout: 30m

Agent-GenPath — Pathology Patch Synthesis

Demo for "Agent-Driven Generative Priors for Pathology Image Synthesis and Segmentation" (arXiv 2611.06701).

Samples 256×256 synthetic H&E pathology patches from the paper's pretrained unconditional flow-matching Diffusion Transformer (yscript/agent-genpath), using the reference Euler sampler from the official Agent-GenPath repo (Apache-2.0).

The backbone is trained on TCGA-200K, a 217,030-patch dataset the paper's pathology agent system curated from the public TCGA repository; the same backbone transfers to semantic segmentation with a lightweight head (PathSeg-380K).

The model definition (dit.py) is copied verbatim from the official repository.