Abstract: Generative Face Video Compression (“GFVC”) techniques are provided to improve performance of facial video compression. A computing system is configured to compute a relative difference metric describing differences in features between frames, and determining, based on the relative difference metric, whether a current frame can be synthesized without entropy coding, or should be re-coded. A computing system is configured to perform two-stage training to stabilize Generative Adversarial Networks (“GAN”) training in GFVC.