A training-free global-local skipping strategy accelerates 3D diffusion-based PET denoising by over an order of magnitude while maintaining or improving image quality across multiple tracers.
Score-based diffusion models for accelerated
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ANL uses diffusion noise prediction and attention to regularize deepfake detectors for better generalization to unseen synthesis methods without added inference cost.
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Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction
A training-free global-local skipping strategy accelerates 3D diffusion-based PET denoising by over an order of magnitude while maintaining or improving image quality across multiple tracers.
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Deepfake Detection Generalization with Diffusion Noise
ANL uses diffusion noise prediction and attention to regularize deepfake detectors for better generalization to unseen synthesis methods without added inference cost.