Disney Research Studios and ETH Zurich researchers presented FRAN, a neural method for changing a person's apparent age in video while preserving identity and expression. The system was trained using synthetic images of faces at different ages, addressing the difficulty of assembling real photographs of the same people across decades. Its image-to-image network applies age-related changes while retaining details needed for visual-effects work.
The research focused on consistency across video frames and robustness to variations in viewpoint, lighting and facial expression. It also provided controls for artists to adjust the effect locally rather than accepting a single automatic result for the entire face. Published as production-ready face re-aging research, FRAN gave visual-effects artists a tool for applying consistent age changes while retaining control of the final appearance.
