Cyclic denoising drives diffusion model samples to ultrastable attractors that often match memorized training images, including watermarks and artifacts, across multiple model types.
Active Hamiltonian
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2026 2verdicts
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Perspective article outlines a roadmap using active Hamiltonian models to explain enhanced Mermin-Wagner-Hohenberg fluctuations and activity-oscillatory shear correspondence in dense active matter.
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Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
Cyclic denoising drives diffusion model samples to ultrastable attractors that often match memorized training images, including watermarks and artifacts, across multiple model types.