AIBullisharXiv – CS AI · 6h ago7/10
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Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers
Researchers have developed the first billion-parameter generative foundation model specifically designed for chest radiograph synthesis, trained on 1.2M radiographs. The model can generate synthetic chest X-rays with clinical-expert-level fidelity while supporting controllable generation across demographics, imaging views, and pathologies, addressing a critical need for diverse medical imaging datasets.