  Recently, high-quality video conferencing with fewer transmission bits has
become a very hot and challenging problem. We propose FAIVConf, a specially
designed video compression framework for video conferencing, based on the
effective neural human face generation techniques. FAIVConf brings together
several designs to improve the system robustness in real video conference
scenarios: face-swapping to avoid artifacts in background animation; facial
blurring to decrease transmission bit-rate and maintain the quality of
extracted facial landmarks; and dynamic source update for face view
interpolation to accommodate a large range of head poses. Our method achieves a
significant bit-rate reduction in the video conference and gives much better
visual quality under the same bit-rate compared with H.264 and H.265 coding
schemes.
