PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing

Figure 1 . We present a general framework for in-bed HPS tasks, containing a monocular optimization strategy to generate high-quality SMPL annotations in in-bed scenarios, SMPLify-IB; and a HPS network to predict in-bed motions from pressure sequence, PI-HMR.