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Christoph Hümmer

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Preprint Sep 2026

Diffuse2Seg: Diffusion Models Can Segment Anything Without Supervision

Diffuse2Seg is introduced, which repurposes generative diffusion models for automatic mask generation by propagating a grid of point prompts through their self-attention representations in an edge-preserving manner, and shows that a model trained on Diffuse2Seg labels provides a strong initialization for semi-supervise...

Christoph Hümmer, Joachim Sicking, Fabian Hüger et al. · 0 citations

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