A simple baseline for evaluating Expression Transfer and Anonymisation in Video Transfer

Video-to-video synthesis methods provide increasingly accessible solutions for training models on privacy-sensitive and limited-size datasets frequently encountered in domains such as affect analysis. However, there are no existing baselines that explicitly measure the extent of reliable expression transfer or privacy preservation in the generated data. In this paper, we evaluate a general-purpose...