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DINOv2's representation space is so statistically well-behaved that you can train a vanilla diffusion transformer on it and beat specialized architectures with fewer parameters.
Ditch slow diffusion models for medical image segmentation: MedFlowSeg achieves state-of-the-art accuracy with a computationally efficient, one-step deterministic approach.