AI RESEARCH
Generative Drifting for Conditional Medical Image Generation
arXiv CS.CV
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ArXi:2604.19736v1 Announce Type: new Conditional medical image generation plays an important role in many clinically relevant imaging tasks. However, existing methods still face a fundamental challenge in balancing inference efficiency, patient-specific fidelity, and distribution-level plausibility, particularly in high-dimensional 3D medical imaging.