Publications by authors named "Wolfgang Paier"

Article Synopsis
  • This article introduces a hybrid animation technique that merges example-based methods with neural networks to enhance human face animations.
  • The traditional method relies on a database of pre-recorded sequences, while the new approach uses a lightweight auto-regressive network that transforms these sequences into a flexible parametric model.
  • This innovation allows for realistic and seamless synthesis of facial animations, particularly useful for visual speech, by predicting the appearance of visemes without needing an exhaustive database.
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The goal of many computational physicists and chemists is the ability to bridge the gap between atomistic length scales of about a few multiples of an Ångström (Å), i. e., 10 m, and meso- or macroscopic length scales by virtue of simulations.

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