F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks. (arXiv:2205.06204v1 [cs.CV])

Formulated as a conditional generation problem, face animation aims at
synthesizing continuous face images from a single source image driven by a set
of conditional face motion. Previous works mainly model the face motion as
conditions with 1D or 2D representation (e.g., action units, emotion codes,
landmark), which often leads to low-quality results in some complicated
scenarios such as continuous generation and largepose transformation. To tackle
this problem, the conditions are supposed to meet two requirements, i.e.,
motion information preserving …

animation arxiv cv face flow gan generative adversarial networks networks