StippleDiffusion is a late-stage denoising ControlNet on an optimal-transport point-set diffusion baseline that produces capacity-constrained stipples from arbitrary density maps, generalizes to unseen point budgets, and matches optimization baselines on Icons-50 while remaining end-to-end trainable
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UFCOD extracts Path Energy and Dynamics Energy from diffusion trajectories to perform few-shot OOD detection across unrelated domains with one fixed model.
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StippleDiffusion: Capacity-Constrained Stippling using Controlled Diffusion
StippleDiffusion is a late-stage denoising ControlNet on an optimal-transport point-set diffusion baseline that produces capacity-constrained stipples from arbitrary density maps, generalizes to unseen point budgets, and matches optimization baselines on Icons-50 while remaining end-to-end trainable
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Geometry over Density: Few-Shot Cross-Domain OOD Detection
UFCOD extracts Path Energy and Dynamics Energy from diffusion trajectories to perform few-shot OOD detection across unrelated domains with one fixed model.