We proposed a classifier-guided conditional seismic denoising diffusion probabilistic model (CCSeis-DDPM) to enable consistent reconstructions. The CCSeis-DDPM adopts the Markov model architecture ...

Denoising Diffusion Models are generative AI frameworks that synthesize images from noise through an iterative denoising process. They are celebrated for their exceptional image generation ...

Denoising diffusion probabilistic models (DDPMs) with classifier ... this learned student model is then progressively distilled to a fewer-step model. The resulting single distilled model can handle a ...

This paper presents a novel approach to enhance the automatic detection of epileptic spikes in EEG data using a classifier-free guidance diffusion model. By utilizing the WaveGrad architecture, a ...

Classifier-Free Guiding, or CFG, is a major factor in enhancing picture generation quality and guaranteeing that the output closely matches the input circumstances in diffusion models. A large ...