AI RESEARCH
Editing Physiological Signals in Videos Using Latent Representations
arXiv CS.CV
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ArXi:2509.25348v3 Announce Type: replace Camera-based physiological signal estimation provides a non-contact and convenient means to monitor Heart Rate (HR). However, the presence of vital signals in facial videos raises significant privacy concerns, as they can reveal sensitive personal information related to the health and emotional states of an individual. To address this, we propose a learned framework that edits physiological signals in videos while preserving visual fidelity.