VToonify: Controllable High-Resolution Portrait Video Style Transfer. (arXiv:2209.11224v2 [cs.CV] UPDATED)

Generating high-quality artistic portrait videos is an important and
desirable task in computer graphics and vision. Although a series of successful
portrait image toonification models built upon the powerful StyleGAN have been
proposed, these image-oriented methods have obvious limitations when applied to
videos, such as the fixed frame size, the requirement of face alignment,
missing non-facial details and temporal inconsistency. In this work, we
investigate the challenging controllable high-resolution portrait video style
transfer by introducing a novel VToonify framework. Specifically, …

arxiv style transfer transfer video