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Found 4 papers, 0 papers with code
IMUSIC: IMU-based Facial Expression Capture
In this paper, we propose IMUSIC to fill the gap, a novel path for facial expression capture using purely IMU signals, significantly distant from previous visual solutions. The key design in our IMUSIC is a trilogy.
Improved Langevin Monte Carlo for stochastic optimization via landscape modification
Given a target function $H$ to minimize or a target Gibbs distribution $\pi_{\beta}^0 \propto e^{-\beta H}$ to sample from in the low temperature, in this paper we propose and analyze Langevin Monte Carlo (LMC) algorithms that run on an alternative landscape as specified by $H^f_{\beta, c, 1}$ and target a modified Gibbs distribution $\pi^f_{\beta, c, 1} \propto e^{-\beta H^f_{\beta, c, 1}}$, where the landscape of $H^f_{\beta, c, 1}$ is a transformed version of that of $H$ which depends on the parameters $f,\beta$ and $c$.
NARRATE: A Normal Assisted Free-View Portrait Stylizer
We extend Total Relighting to fix this problem by unifying its multi-view input normal maps with the physical face model.
Neural Relighting and Expression Transfer On Video Portraits
We present a neural relighting and expression transfer technique to transfer the facial expressions from a source performer to a portrait video of a target performer while enabling dynamic relighting.
