AI RESEARCH

VAMP-Diff: VampPrior Latent Diffusion for Photoplethysmography Modeling

arXiv CS.LG

ArXi:2605.22851v1 Announce Type: cross Photoplethysmography (PPG) has become a ubiquitous physiological signal; however, current generative models still struggle to preserve realistic waveform morphology and learn a latent structure that captures cardiac and respiratory physiology. PPG generators trained with adversarial losses can produce plausible waveforms, but provide no inference path from a real signal to a latent representation.