PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Understand

Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries.

• For easy use and intuitive control, semantically meaningful and fully disentangled parameters should be used as modifications.
• However, many existing techniques do not provide such fine-grained controls or use indirect editing methods i.e.
• mimic motions of other individuals.