Publications Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion We present a machine learning technique for driving 3D facial animation by audio input in real time and with low latency. Our deep neural network learns a mapping from input waveforms to the 3D vertex coordinates of a face model, and simultaneously discovers a compact, latent code that disambiguates the var
Publications Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder We describe a machine learning technique for reconstructing image sequences rendered using Monte Carlo methods. Our primary focus is on reconstruction of global illumination with extremely lo
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