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This paper presents a novel framework to generate realistic face video of ananchor, 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 toembed each word into a vector; then we utilize a Seq2Seq-based model totranslate these word embeddings into action units and head poses of the targetanchor; these action units and head poses will be concatenated with faciallandmarks as well as the former $n$ synthesized frames, and the concatenationserves as input of a Pix2PixHD-based model to synthesize realistic facialimages for the virtual anchor. The experimental results demonstrate ourframework is feasible for the synthesis of virtual anchor.

A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models