arXiv Machine Learning By Hui Wei, Seyedata Jodeiri Seyedian, Xiaobai Li, Guoying Zhao

CanonicalPhys: Pose-Robust Remote Photoplethysmography via Canonical-Space Priors

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arXiv:2607. 15995v1 Announce Type: cross Abstract: Deep remote photoplethysmography (rPPG) attains sub-bpm heart-rate error on frontal, stationary faces yet degrades sharply under head pose: on MMPD, the state-of-the-art FactorizePhys backbone's MAE grows $1.

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arXiv Computer Vision
Sep 25

$\unicode{x1F493}$Heartian: Physiology-Aware Relightable Gaussian Head Avatar

The paper introduces Heartian, a physiology‑aware framework that augments Gaussian head avatars with cardiac‑cycle‑dependent albedo modulation, enabling the encoding of remote photoplethysmography (rPPG) signals. By supervising with synchronized contact PPG, the method models the cardiac waveform as a sum of two Gaussians and learns per‑frame spatial residuals via a lightweight MLP. Experiments on 152 stationary recordings from UBFC‑rPPG, PURE, and MMPD show heart‑rate estimation errors as low as 0.29 bpm MAE and 0.38 % MAPE, while preserving reconstruction quality with negligible PSNR loss.

By Xiaoyue Fan, Jose Echevarria, Akshay Paruchuri, Kaan Ak\c{s}it