  This paper presents a novel framework to generate realistic face video of an
anchor, who is reading certain news. This task is also known as Virtual Anchor.
Given some paragraphs of words, we first utilize a pretrained Word2Vec model to
embed each word into a vector; then we utilize a Seq2Seq-based model to
translate these word embeddings into action units and head poses of the target
anchor; these action units and head poses will be concatenated with facial
landmarks as well as the former $n$ synthesized frames, and the concatenation
serves as input of a Pix2PixHD-based model to synthesize realistic facial
images for the virtual anchor. The experimental results demonstrate our
framework is feasible for the synthesis of virtual anchor.
